About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
27/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.
27/07/2026
Full time
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.
United States Digital Space LLC
Cambridge, Cambridgeshire
About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. The team and culture The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. What we're looking for Strong software design skills, with experience building maintainable systems across large codebases. Production Python experience, including testable, reliable code used by other engineers. Experience with CI/CD, automated testing and Linux based development workflows. Familiarity with C or C++, with confidence reading and debugging low level code. Understanding of ML frameworks, workloads or model execution beyond simple API usage. Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in the company's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
27/07/2026
Full time
About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. The team and culture The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. What we're looking for Strong software design skills, with experience building maintainable systems across large codebases. Production Python experience, including testable, reliable code used by other engineers. Experience with CI/CD, automated testing and Linux based development workflows. Familiarity with C or C++, with confidence reading and debugging low level code. Understanding of ML frameworks, workloads or model execution beyond simple API usage. Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in the company's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. The team and culture The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. What we're looking for Strong software design skills, with experience building maintainable systems across large codebases. Production Python experience, including testable, reliable code used by other engineers. Experience with CI/CD, automated testing and Linux based development workflows. Familiarity with C or C++, with confidence reading and debugging low level code. Understanding of ML frameworks, workloads or model execution beyond simple API usage. Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in the company's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
27/07/2026
Full time
About the job Help prove the ML software stack that future AI systems will depend on. the company is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. The team and culture The ML QA team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. What we're looking for Strong software design skills, with experience building maintainable systems across large codebases. Production Python experience, including testable, reliable code used by other engineers. Experience with CI/CD, automated testing and Linux based development workflows. Familiarity with C or C++, with confidence reading and debugging low level code. Understanding of ML frameworks, workloads or model execution beyond simple API usage. Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in the company's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.
27/07/2026
Full time
At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Software Engineer you will be responsible for development of new and support existing kernels for liner algebra operations on a new generation of AI hardware. The Team This is an exciting opportunity to join an expanding team at Graphcore. Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware. Responsibilities and Duties Implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++. Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency. Contribute towards performance and correctness - add microbenchmarks, regression tests, numeric validation. Debug issues, resolve bugs and generally improve the quality and functionality of the product. Actively engage in and support Agile ways of working within the team. Candidate Profile Essential: Excellent programming and scripting skills using C++ and Python. You thrive on solving challenging problems with creativity, think outside the box, and see the bigger picture beyond the specific software component you are working on. Possess excellent written and oral communication skills, good work ethics, high sense of teamwork. Love to produce quality work and be a team player. Desirable: Strong understanding of processor architectures. Experience or solid understanding of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns, and profiling on Linux. Hands-on with at least one BLAS/DNN stack and able to read/extend kernels. Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys). Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16. ABI/API stability and packaging for Linux distros, manylinux, wheels. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
26/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Software Engineer you will be responsible for development of new and support existing kernels for liner algebra operations on a new generation of AI hardware. The Team This is an exciting opportunity to join an expanding team at Graphcore. Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware. Responsibilities and Duties Implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++. Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency. Contribute towards performance and correctness - add microbenchmarks, regression tests, numeric validation. Debug issues, resolve bugs and generally improve the quality and functionality of the product. Actively engage in and support Agile ways of working within the team. Candidate Profile Essential: Excellent programming and scripting skills using C++ and Python. You thrive on solving challenging problems with creativity, think outside the box, and see the bigger picture beyond the specific software component you are working on. Possess excellent written and oral communication skills, good work ethics, high sense of teamwork. Love to produce quality work and be a team player. Desirable: Strong understanding of processor architectures. Experience or solid understanding of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns, and profiling on Linux. Hands-on with at least one BLAS/DNN stack and able to read/extend kernels. Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys). Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16. ABI/API stability and packaging for Linux distros, manylinux, wheels. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
What this Job Entails: The System Administrator is expected to facilitate operational support to and on behalf of the assigned team. The assigned team supports and maintains a variety of large and global scale systems for building management and physical security operations. The skill set required is industry typical 'systems administration', including working knowledge of various networking systems. Work is ticket based, and the team would be expected to procedurally work through tickets (submitted via a template) to resolution. Scope: Applies company policies and procedures to resolve a variety of issues Works on problems of moderate scope Receives general instructions on routine work and detailed instructions on new projects Your Roles and Responsibilities: Responsibility + Troubleshoot server and network hardware including fiber/optic cables, optics, and hardware componenets + Manage circuit move, add, change and disconnection orders (MACDs) life cycle. + Directly execute or manage local vendor technicians for servers, circuits and maintenance troubleshooting. + Facilitate physical layer installation of server and network cabling according to cabling matrices. + Physical server and circuit troubleshooting and fault analysis. + Provide ongoing support of production environment and coordinate with vendors, system owners, and other operations teams in order to resolve any issues. + Responsible for coordinating and tracking requests/orders and providing weekly reports. + Post documentation on each implementation. + Participate in On-Call Rotation for Ad-Hoc troubleshooting between internal teams and external providers + Assist with other regional works during business hours for maintenance related works Data Accuracy + Inventory Database Improvement Strategy - Server Inventory database - Circuit Inventory database - Spares Inventory database Create plan for healthy amount of spares at each site/warehouse and trigger request for additional spares when it reaches certain threshold - Raise Site and Vendor Remote Hands to perform site audits when needed + Update Internal documents when requested + Ad-Hoc Tasks + Have ticketing system for tracking all requests(JIRA) + Work with SCM, equipment vendors, and datacenters to manage delivery dates and time windows. + Process Improvement Support Vendor Support + Initial POC for all Vendor Queries relating to interconnection, troubleshooting + Create Colocation Inbound/Outbound Shipments and track Deliveries when asked + Update internal documentation for all Internet Provider contact and circuit details + Schedule onsite technicians and provide site access requests for all ad-hoc/scheduled activities. + Submit Vendor Remote Hands Requests to support physical works on site + Perform regular audits for all server, circuits, spares inventory Required Qualifications/Skills: 2+ years experience in datacenter or corporate/enterprise IT infrastructure, operating in IT best practices (ITIL), and operating within equipment lifecycle processes. Experience executing detailed MOPs, technical instructions, following documentation. Knowledge of relevant technologies - fiber optics, DWDM/CWDM devices, network interface types: form factors and protocols Strong troubleshooting skills technical, logistical, process, and others. Experience planning and coordinating with field operation technicians, engineers, contractors, and vendors with Telecom ISP and Colo Providers. Excellent oral and written communication. Ability to express ideas clearly and provide effective remote technical guidance and troubleshooting. Basic command-line proficiency in Linux/Unix and any switch OS CLI Able to work independently with minimum supervision. Preferred Qualifications: Experience coordinating/leading junior field operation technicians/engineers, contractors, and/or vendors in a telecommunications working environment. Experience collaborating across multiple levels and functions. Anticipate problems in planning and proactively limit project-impacting factors. Strong documentation skills for technical processes & procedures as well as accurately recording large amounts of detailed data. Relevant Certifications: Server+, Network+, A+, CDCTP, CDCPM, etc. Physical Demand & Work Environment: Must have the ability to perform office-related tasks which may include prolonged sitting or standing Must have the ability to move from place to place within an office environment Must be able to use a computer Must have the ability to communicate effectively Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
26/07/2026
Full time
What this Job Entails: The System Administrator is expected to facilitate operational support to and on behalf of the assigned team. The assigned team supports and maintains a variety of large and global scale systems for building management and physical security operations. The skill set required is industry typical 'systems administration', including working knowledge of various networking systems. Work is ticket based, and the team would be expected to procedurally work through tickets (submitted via a template) to resolution. Scope: Applies company policies and procedures to resolve a variety of issues Works on problems of moderate scope Receives general instructions on routine work and detailed instructions on new projects Your Roles and Responsibilities: Responsibility + Troubleshoot server and network hardware including fiber/optic cables, optics, and hardware componenets + Manage circuit move, add, change and disconnection orders (MACDs) life cycle. + Directly execute or manage local vendor technicians for servers, circuits and maintenance troubleshooting. + Facilitate physical layer installation of server and network cabling according to cabling matrices. + Physical server and circuit troubleshooting and fault analysis. + Provide ongoing support of production environment and coordinate with vendors, system owners, and other operations teams in order to resolve any issues. + Responsible for coordinating and tracking requests/orders and providing weekly reports. + Post documentation on each implementation. + Participate in On-Call Rotation for Ad-Hoc troubleshooting between internal teams and external providers + Assist with other regional works during business hours for maintenance related works Data Accuracy + Inventory Database Improvement Strategy - Server Inventory database - Circuit Inventory database - Spares Inventory database Create plan for healthy amount of spares at each site/warehouse and trigger request for additional spares when it reaches certain threshold - Raise Site and Vendor Remote Hands to perform site audits when needed + Update Internal documents when requested + Ad-Hoc Tasks + Have ticketing system for tracking all requests(JIRA) + Work with SCM, equipment vendors, and datacenters to manage delivery dates and time windows. + Process Improvement Support Vendor Support + Initial POC for all Vendor Queries relating to interconnection, troubleshooting + Create Colocation Inbound/Outbound Shipments and track Deliveries when asked + Update internal documentation for all Internet Provider contact and circuit details + Schedule onsite technicians and provide site access requests for all ad-hoc/scheduled activities. + Submit Vendor Remote Hands Requests to support physical works on site + Perform regular audits for all server, circuits, spares inventory Required Qualifications/Skills: 2+ years experience in datacenter or corporate/enterprise IT infrastructure, operating in IT best practices (ITIL), and operating within equipment lifecycle processes. Experience executing detailed MOPs, technical instructions, following documentation. Knowledge of relevant technologies - fiber optics, DWDM/CWDM devices, network interface types: form factors and protocols Strong troubleshooting skills technical, logistical, process, and others. Experience planning and coordinating with field operation technicians, engineers, contractors, and vendors with Telecom ISP and Colo Providers. Excellent oral and written communication. Ability to express ideas clearly and provide effective remote technical guidance and troubleshooting. Basic command-line proficiency in Linux/Unix and any switch OS CLI Able to work independently with minimum supervision. Preferred Qualifications: Experience coordinating/leading junior field operation technicians/engineers, contractors, and/or vendors in a telecommunications working environment. Experience collaborating across multiple levels and functions. Anticipate problems in planning and proactively limit project-impacting factors. Strong documentation skills for technical processes & procedures as well as accurately recording large amounts of detailed data. Relevant Certifications: Server+, Network+, A+, CDCTP, CDCPM, etc. Physical Demand & Work Environment: Must have the ability to perform office-related tasks which may include prolonged sitting or standing Must have the ability to move from place to place within an office environment Must be able to use a computer Must have the ability to communicate effectively Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
Avanade is the perfect stage to bring your thoughtful, energetic, and curious approach to technology consulting. Our talented Azure Platform Practice consists of some of the most dedicated and passionate professionals in the field and we plan to grow! With Avanade, you will be focusing on the Azure Public Cloud, Edge and Hybrid and working with the newest Microsoft technologies on exciting client projects. If you like pushing boundaries by outsmarting challenges, read on! Come join us. The Azure Platform Practice is at the core of Avanade's excellence: delivering high-quality, complex projects with global impact. We focus on building and running reliable and secure cloud foundations-from large scale landing zones to data and application platforms. We are committed to making our clients' cloud journey smooth-whether it's moving existing systems to help in datacenter exits, creating new cloud native solutions, or improving an existing cloud presence. Innovation and client satisfaction are part of our essence. Our team is a fast-growing, diverse group of more than 150 passionate enthusiasts and specialists in Azure technologies. We actively acknowledge and reward quality, encourage learning, and have a strong focus on the career and development opportunities of all our people, making sure our employees are proud of working at Avanade is central to us! Together we do what matters. What you'll do Use your deep knowledge of Azure cloud services to design resilient, scalable and secure cloud environments covering the full breadth of the Azure platform Design and implement Azure Landing Zones to establish a scalable, secure and compliant foundation for deploying cloud services Lead complex migrations for on premises infrastructure, applications, and databases to Azure Develop solutions for Edge and Hybrid scenarios by integrating Azure Stack and other technologies to extend Azure capabilities to on premises environments and edge devices Architect and deploy Cloud Native solutions using Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps Qualifications You have extensive experience leading the design, development, and deployment of Azure based solutions - you can see the big picture but maintain credible hands on skills You can take ownership of complex technical challenges and drive to conclusion You have great communication and interpersonal skills and can convey concepts so everyone understands You are able to build relationships with stakeholders at all levels - including up to C level You are comfortable overseeing and providing technical guidance to large and small teams to design and implement solutions You are able to work alongside delivery leadership to create and implement a work plan for your solutions About you Analytical, curious, agile Team player and good communicator Problem solver, patient, quality driven Self motivating Innovative mindset Why Avanade Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. A supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together we do what matters.
26/07/2026
Full time
Avanade is the perfect stage to bring your thoughtful, energetic, and curious approach to technology consulting. Our talented Azure Platform Practice consists of some of the most dedicated and passionate professionals in the field and we plan to grow! With Avanade, you will be focusing on the Azure Public Cloud, Edge and Hybrid and working with the newest Microsoft technologies on exciting client projects. If you like pushing boundaries by outsmarting challenges, read on! Come join us. The Azure Platform Practice is at the core of Avanade's excellence: delivering high-quality, complex projects with global impact. We focus on building and running reliable and secure cloud foundations-from large scale landing zones to data and application platforms. We are committed to making our clients' cloud journey smooth-whether it's moving existing systems to help in datacenter exits, creating new cloud native solutions, or improving an existing cloud presence. Innovation and client satisfaction are part of our essence. Our team is a fast-growing, diverse group of more than 150 passionate enthusiasts and specialists in Azure technologies. We actively acknowledge and reward quality, encourage learning, and have a strong focus on the career and development opportunities of all our people, making sure our employees are proud of working at Avanade is central to us! Together we do what matters. What you'll do Use your deep knowledge of Azure cloud services to design resilient, scalable and secure cloud environments covering the full breadth of the Azure platform Design and implement Azure Landing Zones to establish a scalable, secure and compliant foundation for deploying cloud services Lead complex migrations for on premises infrastructure, applications, and databases to Azure Develop solutions for Edge and Hybrid scenarios by integrating Azure Stack and other technologies to extend Azure capabilities to on premises environments and edge devices Architect and deploy Cloud Native solutions using Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps Qualifications You have extensive experience leading the design, development, and deployment of Azure based solutions - you can see the big picture but maintain credible hands on skills You can take ownership of complex technical challenges and drive to conclusion You have great communication and interpersonal skills and can convey concepts so everyone understands You are able to build relationships with stakeholders at all levels - including up to C level You are comfortable overseeing and providing technical guidance to large and small teams to design and implement solutions You are able to work alongside delivery leadership to create and implement a work plan for your solutions About you Analytical, curious, agile Team player and good communicator Problem solver, patient, quality driven Self motivating Innovative mindset Why Avanade Structured learning and paid certifications with clear pathways to progress into senior engineering and architecture roles. Work on varied client engagements, including regulated environments where quality and security matter. A supportive, collaborative culture with mentoring from experienced practitioners across the global Avanade community. Equal Opportunity Equal Opportunity Avanade is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together we do what matters.
- Desktop Support Engineer Job Details Job Title: Desktop Support Engineer Working Hours/Arrangements: 40 hours per week (9am to 6pm, including one hour of unpaid break), Mondays to Thursdays - office based; Fridays - work from home. Salary Range: £27,000 - £35,000 per annum Location: Guildford office - 2nd Floor, 2000 Cathedral Square, Cathedral Hill, Guildford GU2 7YL Reporting to: IT Manager About the company is an Infrastructure as a Service (Iaas) company. We offer a full suite of computing, storage, and networking services across the US, Europe, and Asia. We are working with leading enterprises and up-and-coming firms in some of the most crucial and fastest-growing industries in the world, including Big Data, Adtech, Fintech, Gaming, iGaming, Blockchain and Streaming. We were founded in 2014 by a group of hosting industry veterans. is headquartered in Cyprus, EU. provides access to premium server hosting solutions in over 26 datacentres globally. Job brief We are looking for a Desktop Support Engineer to join our IT team at to provide fast and useful technical assistance on computer systems. You will answer queries on basic technical issues and offer advice to solve them. You will also be responsible for collaborating with the IT Manager and helping the IT Team run new projects. As an excellent Desktop support engineer, some of your responsibilities will be monitoring and maintaining the computer systems within our organisation in a technical support role. You must have good technical knowledge and be able to communicate effectively to understand the problem and explain its solution. Responsibilities Support & Maintenance: provide support for IT-related issues and help with office systems. User Management: manage onboarding, offboarding, permissions, and user lifecycle processes across Prepare workplaces for new users (Apple laptops, standard PC) SaaS Management: perform configuration and administration of services such as Jira, Google Workspace, Slack and other platforms. IT Project Implementation: perform complex tasks involving audits, process automation, and migration of users and data between systems; evaluate, analyse, and implement new IT systems and tools. Asset Management: maintain accurate inventory of hardware and software assets; manage lifecycle, allocation, and compliance. Install and configure network equipment, commission new facilities. Prepare manuals for setting up and using the software. The above list of duties is not exhaustive. You will be expected to perform different tasks as necessitated by the IT Support team. Experience/qualifications/skills Google Workspace Jira Datacenter / Cloud administration: deep configuration for JSM, Jira Software, Jira Asset Management Mobile Device Management (MDM) Solid experience working with network infrastructure and hardware Good understanding of protocols and technologies: HTTP, DNS, SMTP, IMAP, DHCP, ICMP Proficiency in Linux / macOS / Windows systems administration (installation, maintenance, CLI usage) Basic scripting skills (bash / python / google scripts) for routine tasks automation Location You will need to be able to get to our Guildford-based office 4 days per week. Address: 2nd Floor, 2000 Cathedral Square, Cathedral Hill, Guildford GU2 7YL Working Hours/Arrangements 40 hours per week (9am to 6pm, including one hour of unpaid break), Mondays to Thursdays - office based; Fridays - work from home. We offer: Salary range: £27,000 - £35,000 per annum. Private healthcare - Once probation period is passed. Embrace parenthood with 18 weeks generous paid leave after completion of 15 months' 'continuous service' Pension contribution - 5% of the salary. 28 annual leave days plus all Bank Holidays in each holiday year in England and Wales. 10 days working from anywhere in the world following completion of probationary period. Mobile phone bill paid to the value of £80.00 per month (Subject to BiK taxation). Office Lunches - Deliveroo to the value of £14.00 each day. Great work culture, onboarding, and team support. Casual dress code. Use of Apple MacBook Pro laptop - Mouse and Keyboard. AirPods Headset. is committed to equality and diversity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please click here to access our Equal Opportunities Policy Also, please review our candidate privacy policy in relation to the collection and processing of your personal data. Should you be unsuccessful in your application for the role you have applied for and would like for to keep your details for any future roles for twelve (12) months please let us know in writing.
25/07/2026
Full time
- Desktop Support Engineer Job Details Job Title: Desktop Support Engineer Working Hours/Arrangements: 40 hours per week (9am to 6pm, including one hour of unpaid break), Mondays to Thursdays - office based; Fridays - work from home. Salary Range: £27,000 - £35,000 per annum Location: Guildford office - 2nd Floor, 2000 Cathedral Square, Cathedral Hill, Guildford GU2 7YL Reporting to: IT Manager About the company is an Infrastructure as a Service (Iaas) company. We offer a full suite of computing, storage, and networking services across the US, Europe, and Asia. We are working with leading enterprises and up-and-coming firms in some of the most crucial and fastest-growing industries in the world, including Big Data, Adtech, Fintech, Gaming, iGaming, Blockchain and Streaming. We were founded in 2014 by a group of hosting industry veterans. is headquartered in Cyprus, EU. provides access to premium server hosting solutions in over 26 datacentres globally. Job brief We are looking for a Desktop Support Engineer to join our IT team at to provide fast and useful technical assistance on computer systems. You will answer queries on basic technical issues and offer advice to solve them. You will also be responsible for collaborating with the IT Manager and helping the IT Team run new projects. As an excellent Desktop support engineer, some of your responsibilities will be monitoring and maintaining the computer systems within our organisation in a technical support role. You must have good technical knowledge and be able to communicate effectively to understand the problem and explain its solution. Responsibilities Support & Maintenance: provide support for IT-related issues and help with office systems. User Management: manage onboarding, offboarding, permissions, and user lifecycle processes across Prepare workplaces for new users (Apple laptops, standard PC) SaaS Management: perform configuration and administration of services such as Jira, Google Workspace, Slack and other platforms. IT Project Implementation: perform complex tasks involving audits, process automation, and migration of users and data between systems; evaluate, analyse, and implement new IT systems and tools. Asset Management: maintain accurate inventory of hardware and software assets; manage lifecycle, allocation, and compliance. Install and configure network equipment, commission new facilities. Prepare manuals for setting up and using the software. The above list of duties is not exhaustive. You will be expected to perform different tasks as necessitated by the IT Support team. Experience/qualifications/skills Google Workspace Jira Datacenter / Cloud administration: deep configuration for JSM, Jira Software, Jira Asset Management Mobile Device Management (MDM) Solid experience working with network infrastructure and hardware Good understanding of protocols and technologies: HTTP, DNS, SMTP, IMAP, DHCP, ICMP Proficiency in Linux / macOS / Windows systems administration (installation, maintenance, CLI usage) Basic scripting skills (bash / python / google scripts) for routine tasks automation Location You will need to be able to get to our Guildford-based office 4 days per week. Address: 2nd Floor, 2000 Cathedral Square, Cathedral Hill, Guildford GU2 7YL Working Hours/Arrangements 40 hours per week (9am to 6pm, including one hour of unpaid break), Mondays to Thursdays - office based; Fridays - work from home. We offer: Salary range: £27,000 - £35,000 per annum. Private healthcare - Once probation period is passed. Embrace parenthood with 18 weeks generous paid leave after completion of 15 months' 'continuous service' Pension contribution - 5% of the salary. 28 annual leave days plus all Bank Holidays in each holiday year in England and Wales. 10 days working from anywhere in the world following completion of probationary period. Mobile phone bill paid to the value of £80.00 per month (Subject to BiK taxation). Office Lunches - Deliveroo to the value of £14.00 each day. Great work culture, onboarding, and team support. Casual dress code. Use of Apple MacBook Pro laptop - Mouse and Keyboard. AirPods Headset. is committed to equality and diversity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please click here to access our Equal Opportunities Policy Also, please review our candidate privacy policy in relation to the collection and processing of your personal data. Should you be unsuccessful in your application for the role you have applied for and would like for to keep your details for any future roles for twelve (12) months please let us know in writing.
Backbone Fiber - Business & Vendor Developer , Global Connectivity & Infrastructure Development Job ID: Amazon Development Centre (London) Limited This position can be based in Dublin or London. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud infrastructure is built around Regions and Availability Zones (AZs). AWS Regions provide multiple, physically separated and isolated Availability Zones which are connected with low latency, high throughput, and highly redundant networking. These Availability Zones offer AWS customers an easier and more effective way to design and operate applications and databases, making them more highly available, fault tolerant, and scalable than traditional single datacenter infrastructures or multi-datacenter infrastructures. How would you like to come be part of the team that builds out that low latency, high throughput, and highly redundant network? AWS is seeking an exceptional Backbone Network Developer to help architect and scale one of the world's most sophisticated networks. As a key member of our Backbone Network Development organization, you will drive innovation in network scaling while maintaining AWS's renowned operational excellence. This role offers the unique opportunity to shape the future of global network infrastructure while solving complex challenges at unprecedented scale. You will leverage your technical expertise and commercial acumen to develop creative solutions that support Amazon's continued worldwide growth and expansion. Join us in building the future of cloud infrastructure at AWS, where your contributions will have global impact. This position sits within our Backbone Network Development organization, a team critical to Amazon's global infrastructure and connectivity strategy. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Network Strategy & Development - Drive AWS's European backbone network infrastructure strategy and execution - Design and implement large-scale network architecture supporting Amazon's global operations - Develop and execute strategic network expansion plans with regular milestone tracking - Optimize network topology for maximum efficiency and cost-effectiveness - Monitor and analyze telecommunications market trends, emerging technologies, and industry developments Vendor & Partnership Management - Identify and evaluate strategic suppliers for wavelengths, dark fiber, and submarine cable capacity - Lead technical vendor strategy across AWS's European network topology - Develop and maintain key commercial and technical partnerships within Europe - Manage supplier onboarding, performance metrics, and service quality standards - Coordinate with vendors and internal teams to deliver new backbone capacity Financial & Project Management - Collaborate with finance partners on budget planning and allocation - Manage risk assessment, escalations, and technical constraint resolution - Balance business requirements with technical limitations and cost considerations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Bachelor's degree in Information Technology, Computer Science, or a related field, or experience related IT - Experience related to spectrum management, securing licenses for the provision of telecommunications services and ensuring regulatory compliance at an international level - Experience managing procurement teams with direct experience in supplier/supply chain management - Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience building and managing financial models for business forecasting and problem solving Preferred Qualifications - Experience working in a network planning, network construction/implementation, or commercial implementation role at an ISP, telecoms operator, or Hyperscaler - Experience in strategic marketing management and market analysis and demonstrated ability to build and execute a strategy with clear goals and objectives to align to business and service objectives, and support portfolio objectives - Experience working across functional teams and senior stakeholders - Experience in Network protocols like DNS/DHCP/TCP, or experience in Linux and Networking protocols and experience that includes strong analytical skills, attention to detail, and effective communication abilities Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 15, 2026 (Updated 1 day ago) Posted: June 25, 2026 (Updated 3 days ago) Posted: July 13, 2026 (Updated 4 days ago) Posted: April 29, 2026 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
25/07/2026
Full time
Backbone Fiber - Business & Vendor Developer , Global Connectivity & Infrastructure Development Job ID: Amazon Development Centre (London) Limited This position can be based in Dublin or London. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud infrastructure is built around Regions and Availability Zones (AZs). AWS Regions provide multiple, physically separated and isolated Availability Zones which are connected with low latency, high throughput, and highly redundant networking. These Availability Zones offer AWS customers an easier and more effective way to design and operate applications and databases, making them more highly available, fault tolerant, and scalable than traditional single datacenter infrastructures or multi-datacenter infrastructures. How would you like to come be part of the team that builds out that low latency, high throughput, and highly redundant network? AWS is seeking an exceptional Backbone Network Developer to help architect and scale one of the world's most sophisticated networks. As a key member of our Backbone Network Development organization, you will drive innovation in network scaling while maintaining AWS's renowned operational excellence. This role offers the unique opportunity to shape the future of global network infrastructure while solving complex challenges at unprecedented scale. You will leverage your technical expertise and commercial acumen to develop creative solutions that support Amazon's continued worldwide growth and expansion. Join us in building the future of cloud infrastructure at AWS, where your contributions will have global impact. This position sits within our Backbone Network Development organization, a team critical to Amazon's global infrastructure and connectivity strategy. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Network Strategy & Development - Drive AWS's European backbone network infrastructure strategy and execution - Design and implement large-scale network architecture supporting Amazon's global operations - Develop and execute strategic network expansion plans with regular milestone tracking - Optimize network topology for maximum efficiency and cost-effectiveness - Monitor and analyze telecommunications market trends, emerging technologies, and industry developments Vendor & Partnership Management - Identify and evaluate strategic suppliers for wavelengths, dark fiber, and submarine cable capacity - Lead technical vendor strategy across AWS's European network topology - Develop and maintain key commercial and technical partnerships within Europe - Manage supplier onboarding, performance metrics, and service quality standards - Coordinate with vendors and internal teams to deliver new backbone capacity Financial & Project Management - Collaborate with finance partners on budget planning and allocation - Manage risk assessment, escalations, and technical constraint resolution - Balance business requirements with technical limitations and cost considerations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Bachelor's degree in Information Technology, Computer Science, or a related field, or experience related IT - Experience related to spectrum management, securing licenses for the provision of telecommunications services and ensuring regulatory compliance at an international level - Experience managing procurement teams with direct experience in supplier/supply chain management - Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience building and managing financial models for business forecasting and problem solving Preferred Qualifications - Experience working in a network planning, network construction/implementation, or commercial implementation role at an ISP, telecoms operator, or Hyperscaler - Experience in strategic marketing management and market analysis and demonstrated ability to build and execute a strategy with clear goals and objectives to align to business and service objectives, and support portfolio objectives - Experience working across functional teams and senior stakeholders - Experience in Network protocols like DNS/DHCP/TCP, or experience in Linux and Networking protocols and experience that includes strong analytical skills, attention to detail, and effective communication abilities Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 15, 2026 (Updated 1 day ago) Posted: June 25, 2026 (Updated 3 days ago) Posted: July 13, 2026 (Updated 4 days ago) Posted: April 29, 2026 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Nexperia in Manchester is expanding its Applications team by hiring a Senior Application Engineer to support AI infrastructure and data-center power systems. You will design and validate high-density rack power solutions, and contribute to 48V distribution and hot-swap features for automotive/industrial contexts. You should have Electronics/Electronics Engineering background, hands-on circuit simulation skills (SIMPLIS/LTspice/PSpice) and travel willingness for global customer engagements.
24/07/2026
Full time
Nexperia in Manchester is expanding its Applications team by hiring a Senior Application Engineer to support AI infrastructure and data-center power systems. You will design and validate high-density rack power solutions, and contribute to 48V distribution and hot-swap features for automotive/industrial contexts. You should have Electronics/Electronics Engineering background, hands-on circuit simulation skills (SIMPLIS/LTspice/PSpice) and travel willingness for global customer engagements.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
23/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
23/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
23/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
23/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About the Role The Program Manager executes Technology Capital Builds by creating tight alignment across Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work. In this role, you will Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one. Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality. Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience. Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements. Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks. Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio. Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio. Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness. Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place. You might thrive in this role if you have Strong project and program management capabilities. Strong knowledge of the architectural design process (schematic design, design development, construction documents). Strong knowledge of commercial real estate construction processes. Excellent written and verbal communication skills. Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover). Understanding of mechanical power, cooling systems and capacity planning. Ability to read construction and engineering plan drawings. PMP or equivalent project management certification. Equal Opportunity Employment We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. This may affect job duties such as protecting computer hardware entrusted to you from theft, loss or damage; returning all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintaining the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities.
22/07/2026
Full time
About the Role The Program Manager executes Technology Capital Builds by creating tight alignment across Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work. In this role, you will Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one. Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality. Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience. Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements. Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks. Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio. Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio. Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness. Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place. You might thrive in this role if you have Strong project and program management capabilities. Strong knowledge of the architectural design process (schematic design, design development, construction documents). Strong knowledge of commercial real estate construction processes. Excellent written and verbal communication skills. Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover). Understanding of mechanical power, cooling systems and capacity planning. Ability to read construction and engineering plan drawings. PMP or equivalent project management certification. Equal Opportunity Employment We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. This may affect job duties such as protecting computer hardware entrusted to you from theft, loss or damage; returning all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintaining the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities.
Hybrid Work Schedule Verifone is proudly an in office work culture. We allow a hybrid work schedule but regularly revisit our attendance policy. What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of MySQL clusters and single instances. You will orchestrate upgrades, backups, HA/DR, and provisioning of database instances, collaborating closely with application architects, senior developers, and support engineers to design optimized database solutions. Key Responsibilities You will be responsible for ensuring that database management policies, processes, and procedures are established and followed, aligning with ITIL best practices and PCI standards. You will review system design changes, liaise with release management and support teams, and maintain stable performance and security. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2, RDS, or Aurora instances. Build high availability, active active clusters in large scale, multi datacenter environments with minimal RPO/RTO. Implement uniform backup strategies and business continuity plans using Percona XtraDB or custom automation scripts. Define comprehensive database monitoring, alerting, and documentation. Set up master master or master slave replication for high availability. Maintain performance through server optimizations. Guide engineering teams on best practices for server configuration and SQL tuning. Ensure security and compliance via OS and database version upgrades. Collaborate with stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to incident and change processes with thorough documentation and peer review. Support application release processes and automation. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL active/active cluster setups, upgrades, migrations, and scripting. Proficiency in Linux based MySQL administration. Experience with zero or minimal downtime upgrades in production. Designing and architecting MySQL environments using Galera Cluster or Percona XtraDB. Deployment of database monitoring using PMM, New Relic, Datadog, Nagios, Grafana, ELK, or AppD. Infrastructure as Code (IaC) experience with Terraform, Ansible, Puppet, or Chef. Proficiency with cloud infrastructure, especially AWS RDS. Automation and scripting in Python, Shell, Go, Java, or Rust. Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or GitLab. Advanced database performance tuning, SQL optimization, hardware configuration, and capacity planning. Strong technical leadership, mentoring, and time management skills. Preferred Skills (Not Mandatory) PCI (Payment Card Industry Data Security) standards experience. ITIL environment experience. Deep experience with SQL, stored procedures, triggers, batch jobs, reporting, and analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, and ETL. Experience with data analytics and business intelligence. EEO Statement Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
22/07/2026
Full time
Hybrid Work Schedule Verifone is proudly an in office work culture. We allow a hybrid work schedule but regularly revisit our attendance policy. What's Exciting About the Role Verifone is seeking an experienced MySQL lead who will be responsible for ensuring database performance, high availability, and security of MySQL clusters and single instances. You will orchestrate upgrades, backups, HA/DR, and provisioning of database instances, collaborating closely with application architects, senior developers, and support engineers to design optimized database solutions. Key Responsibilities You will be responsible for ensuring that database management policies, processes, and procedures are established and followed, aligning with ITIL best practices and PCI standards. You will review system design changes, liaise with release management and support teams, and maintain stable performance and security. Design, install, deploy, and manage MySQL on physical, virtual, AWS EC2, RDS, or Aurora instances. Build high availability, active active clusters in large scale, multi datacenter environments with minimal RPO/RTO. Implement uniform backup strategies and business continuity plans using Percona XtraDB or custom automation scripts. Define comprehensive database monitoring, alerting, and documentation. Set up master master or master slave replication for high availability. Maintain performance through server optimizations. Guide engineering teams on best practices for server configuration and SQL tuning. Ensure security and compliance via OS and database version upgrades. Collaborate with stakeholders to create effective database solutions. Create and maintain ad hoc reports. Adhere to incident and change processes with thorough documentation and peer review. Support application release processes and automation. Mentor and develop other engineers on MySQL skills. Required Qualifications/Skills Minimum 8 years of experience managing MySQL. Experience with MySQL active/active cluster setups, upgrades, migrations, and scripting. Proficiency in Linux based MySQL administration. Experience with zero or minimal downtime upgrades in production. Designing and architecting MySQL environments using Galera Cluster or Percona XtraDB. Deployment of database monitoring using PMM, New Relic, Datadog, Nagios, Grafana, ELK, or AppD. Infrastructure as Code (IaC) experience with Terraform, Ansible, Puppet, or Chef. Proficiency with cloud infrastructure, especially AWS RDS. Automation and scripting in Python, Shell, Go, Java, or Rust. Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or GitLab. Advanced database performance tuning, SQL optimization, hardware configuration, and capacity planning. Strong technical leadership, mentoring, and time management skills. Preferred Skills (Not Mandatory) PCI (Payment Card Industry Data Security) standards experience. ITIL environment experience. Deep experience with SQL, stored procedures, triggers, batch jobs, reporting, and analytics. Experience managing PostgreSQL, SQL Server, and/or Oracle. Experience with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, and ETL. Experience with data analytics and business intelligence. EEO Statement Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Senior Site Reliability Engineer - iManage SRE is part of a global organization that leverages the latest technology to communicate with our colleagues across the globe. We organize ourselves into distributed teams - SRE teams are anchored to iManage offices across the globe. Tuesdays and Thursdays are dedicated to in office collaboration, rapid innovation, and developing a sense of belonging at iManage. Mondays and Fridays are reserved for focus time to get things done. Have the best of both work styles in a workplace that is intentional about belonging, collaboration, and accomplishment. Being a Senior Site Reliability Engineer at iManage means You are an engineer, a builder, and a systems thinker. You'll create middleware and platform guardrails that empower developers to innovate quickly and reliably. You combine deep technical judgment with empathy to eliminate customer pain, especially when working with enthusiastic teams stewarding the world's most privileged data. You uplift those around you, act as a subject matter expert, mentor others, and drive change. You chase contributing factors over root causes, value code over documentation, and documentation over process. You'll engage in and often lead architectural discussions, reduce toil, and deliver scalable, resilient platforms that support our customers and organization. As a Senior SRE, you'll help scale our cloud platform, collaborate across teams to promote standardization and resiliency, and participate in on call rotations. You'll become a key voice in observability, change management, and service scalability, providing guidance during complex technical decisions and high impact events. iManage is experiencing explosive growth in its flagship cloud product. We're seeking senior software and systems engineers specializing in reliability and platform services to join our transformative cloud journey. This requires rethinking technical decisions with a beginner's mindset and a focus on resilience and sustainability. If you write code, think in systems, embrace complexity and automation, and are passionate about service resilience and scalability - we want to talk to you. sRE Responsibilities Eliminate TOIL through automation and software development. Partner cross functionally with application teams and internal stakeholders. Create a modern, cloud native platform that is resilient, cost effective, and secure by default. Scale cloud infrastructure to support our Kubernetes based ecosystem. Maintain the freshness and utility of platform services. Improve the security posture of our products. Design automation, orchestration, observability, and disaster readiness into our products. Participate in production support and on call rotations, providing senior level guidance during critical events. Lead incident management and post incident retrospectives, coaching teams in these practices. Qualifications Experience writing design documents, postmortems, and refactoring application code. Built automation to reduce operational burden or developed internal SaaS tools. Ability to advocate for SRE principles (e.g., SLOs vs SLAs) and introduce them effectively. Experience in public cloud or hosted datacenter environments (Azure and AKS preferred). A passion for collaborative teamwork and influencing reliability best practices across teams. Bonus Points Hands on experience with Linux server stacks (Ubuntu/Debian preferred). Knowledge of cloud provisioning platforms (Terraform preferred). Exposure to configuration management tools (Chef preferred). Experience with containerization/clustering technologies (Docker preferred). Familiarity with observability and alerting tools (Prometheus/Grafana or ELK/EFK). Practical experience with CI/CD pipelines and rollout strategies. A bachelor's degree (or equivalent experience) in Computer Engineering or related field. Proficiency in one or more programming languages (e.g., Java, Python, Golang). Familiarity with scripting languages (e.g., PowerShell, Bash, Python, Ruby). Benefits Creating an inclusive environment where you're encouraged to help shape the culture. Market leading salary determined through a fair and consistent process, equitable for all employees. Annual performance based bonus. Enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay). Matching pension contribution (up to 6%). Private medical insurance and cash plan. Group life cover, income protection, and critical illness protection. Flexible time off policy, 25 days of annual leave with additional flexibility. Wellness days each year to prioritize mental health and well being. Access to RethinkCare, a global behavioral health platform. We welcome those who come with a growth mindset and a hunger for learning; if you are excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply anyway. iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicate from emails using domain. If you have any concerns or questions about communications you have received, please send them to so our team members can review. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
21/07/2026
Full time
Senior Site Reliability Engineer - iManage SRE is part of a global organization that leverages the latest technology to communicate with our colleagues across the globe. We organize ourselves into distributed teams - SRE teams are anchored to iManage offices across the globe. Tuesdays and Thursdays are dedicated to in office collaboration, rapid innovation, and developing a sense of belonging at iManage. Mondays and Fridays are reserved for focus time to get things done. Have the best of both work styles in a workplace that is intentional about belonging, collaboration, and accomplishment. Being a Senior Site Reliability Engineer at iManage means You are an engineer, a builder, and a systems thinker. You'll create middleware and platform guardrails that empower developers to innovate quickly and reliably. You combine deep technical judgment with empathy to eliminate customer pain, especially when working with enthusiastic teams stewarding the world's most privileged data. You uplift those around you, act as a subject matter expert, mentor others, and drive change. You chase contributing factors over root causes, value code over documentation, and documentation over process. You'll engage in and often lead architectural discussions, reduce toil, and deliver scalable, resilient platforms that support our customers and organization. As a Senior SRE, you'll help scale our cloud platform, collaborate across teams to promote standardization and resiliency, and participate in on call rotations. You'll become a key voice in observability, change management, and service scalability, providing guidance during complex technical decisions and high impact events. iManage is experiencing explosive growth in its flagship cloud product. We're seeking senior software and systems engineers specializing in reliability and platform services to join our transformative cloud journey. This requires rethinking technical decisions with a beginner's mindset and a focus on resilience and sustainability. If you write code, think in systems, embrace complexity and automation, and are passionate about service resilience and scalability - we want to talk to you. sRE Responsibilities Eliminate TOIL through automation and software development. Partner cross functionally with application teams and internal stakeholders. Create a modern, cloud native platform that is resilient, cost effective, and secure by default. Scale cloud infrastructure to support our Kubernetes based ecosystem. Maintain the freshness and utility of platform services. Improve the security posture of our products. Design automation, orchestration, observability, and disaster readiness into our products. Participate in production support and on call rotations, providing senior level guidance during critical events. Lead incident management and post incident retrospectives, coaching teams in these practices. Qualifications Experience writing design documents, postmortems, and refactoring application code. Built automation to reduce operational burden or developed internal SaaS tools. Ability to advocate for SRE principles (e.g., SLOs vs SLAs) and introduce them effectively. Experience in public cloud or hosted datacenter environments (Azure and AKS preferred). A passion for collaborative teamwork and influencing reliability best practices across teams. Bonus Points Hands on experience with Linux server stacks (Ubuntu/Debian preferred). Knowledge of cloud provisioning platforms (Terraform preferred). Exposure to configuration management tools (Chef preferred). Experience with containerization/clustering technologies (Docker preferred). Familiarity with observability and alerting tools (Prometheus/Grafana or ELK/EFK). Practical experience with CI/CD pipelines and rollout strategies. A bachelor's degree (or equivalent experience) in Computer Engineering or related field. Proficiency in one or more programming languages (e.g., Java, Python, Golang). Familiarity with scripting languages (e.g., PowerShell, Bash, Python, Ruby). Benefits Creating an inclusive environment where you're encouraged to help shape the culture. Market leading salary determined through a fair and consistent process, equitable for all employees. Annual performance based bonus. Enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay). Matching pension contribution (up to 6%). Private medical insurance and cash plan. Group life cover, income protection, and critical illness protection. Flexible time off policy, 25 days of annual leave with additional flexibility. Wellness days each year to prioritize mental health and well being. Access to RethinkCare, a global behavioral health platform. We welcome those who come with a growth mindset and a hunger for learning; if you are excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply anyway. iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicate from emails using domain. If you have any concerns or questions about communications you have received, please send them to so our team members can review. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. With Confluent, data doesn't sit still. We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them. Overview Role and responsibilities at a glance for a Confluent Cloud Infrastructure Software Engineer within the Confluent Cloud Platform and PaaS product. Responsibilities Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization. Work with Terraform, Datadog, Prometheus; maintain a strong command of Linux, public cloud and networking; Golang software engineering will be the primary focus. Collaborate with the Confluent engineering team to build the PaaS product. Ensure availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud. Contribute to architecture and operational design points to optimize large-scale data systems (thousands of instances) for security and reliability. Qualifications What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience. Relevant cloud infrastructure/cloud networking experience. Strong fundamentals in distributed systems design and development. Experience building and operating large-scale systems. Solid understanding of basic systems operations (disk, network, operating systems, etc.). A self-starter with ability to work effectively in teams. Proficiency in Go, Python, C++, or other statically typed languages. Experience/knowledge with public clouds (AWS, Azure or GCP). What Gives You an Edge Experience with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approaches to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. Your In a world where technology never stands still, we understand that dedication to our clients' success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment every day, all whilst having continuous trust and support in an environment where everyone can thrive regardless of background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide ongoing feedback to help other IBMers grow, as well as collaborate with colleagues with a team-focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions every day is essential to IBM becoming the catalyst for progress, always embracing challenges with available resources, a can-do attitude, and an outcome-focused approach. Are you ready to be an IBMer? About IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application.
20/07/2026
Full time
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. With Confluent, data doesn't sit still. We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them. Overview Role and responsibilities at a glance for a Confluent Cloud Infrastructure Software Engineer within the Confluent Cloud Platform and PaaS product. Responsibilities Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization. Work with Terraform, Datadog, Prometheus; maintain a strong command of Linux, public cloud and networking; Golang software engineering will be the primary focus. Collaborate with the Confluent engineering team to build the PaaS product. Ensure availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud. Contribute to architecture and operational design points to optimize large-scale data systems (thousands of instances) for security and reliability. Qualifications What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience. Relevant cloud infrastructure/cloud networking experience. Strong fundamentals in distributed systems design and development. Experience building and operating large-scale systems. Solid understanding of basic systems operations (disk, network, operating systems, etc.). A self-starter with ability to work effectively in teams. Proficiency in Go, Python, C++, or other statically typed languages. Experience/knowledge with public clouds (AWS, Azure or GCP). What Gives You an Edge Experience with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approaches to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. Your In a world where technology never stands still, we understand that dedication to our clients' success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment every day, all whilst having continuous trust and support in an environment where everyone can thrive regardless of background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide ongoing feedback to help other IBMers grow, as well as collaborate with colleagues with a team-focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions every day is essential to IBM becoming the catalyst for progress, always embracing challenges with available resources, a can-do attitude, and an outcome-focused approach. Are you ready to be an IBMer? About IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application.
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are looking for a System Architect who thinks in AI first and hardware second. You will own the architectural vision that bridges our AI workload requirements with our silicon and software execution. This is not a role for someone who designs chips and then asks what AI runs on them - it's a role for someone who deeply understands AI models, inference and training pipelines, and then works backwards to define the hardware and software systems that serve them best. You will sit at the intersection of leadership, hardware engineering, and software engineering - translating high-level product strategy into concrete architectural decisions and ensuring all three teams are aligned, unblocked, and pulling in the same direction. What You'll Do Architecture & Technical Leadership Define and own the end-to-end system architecture, from AI workload characterisation through to chip microarchitecture trade-offs and software stack interfaces Drive architectural decisions by starting with AI model and operator analysis - identifying compute, memory bandwidth, data movement, and sparsity patterns that constrain and shape the hardware design Develop and maintain architectural specifications, performance models, and design documents that serve as the single source of truth across teams Evaluate architectural trade-offs (latency vs. throughput, on-chip vs. off-chip memory, dataflow strategies, precision formats) with a quantitative, workload-grounded methodology Stay current with the frontier of AI research (model architectures, training techniques, inference optimisations) and translate emerging trends into architectural foresight Cross-functional Coordination Act as the primary technical bridge between the leadership team, hardware engineering, and software engineering - ensuring that decisions made in one domain are properly communicated, challenged, and integrated in others Partner with the leadership team to translate business goals and product roadmap into architectural requirements and phased execution plans Work closely with the hardware team to ensure microarchitectural decisions are grounded in realistic AI workload demands; push back constructively when hardware-centric thinking diverges from AI requirements Collaborate with the software team to define clean hardware/software interfaces, programming models, and runtime abstractions that make the hardware genuinely usable for AI practitioners Facilitate architectural reviews and design discussions that create shared understanding rather than siloed decision-making Execution & Delivery Identify and resolve cross-team dependencies and ambiguities early, before they become schedule risks Define and track key architectural metrics and milestones throughout the chip development lifecycle (pre-RTL through tape-out and post-silicon validation) Support benchmarking and performance analysis efforts, helping teams understand where the system delivers against AI workload targets and where it falls short What We're Looking For Must-Have Deep, hands-on understanding of modern AI/ML workloads - transformer architectures, convolutional networks, recommendation systems, or similar - including their compute and memory access patterns Proven experience defining system or chip architecture in the context of AI/ML acceleration (inference, training, or both) Ability to build and use analytical performance models (roofline models, memory bandwidth analysis, cycle-accurate estimates) to guide architectural decisions Strong communication skills with the ability to adapt technical depth for leadership, hardware engineers, and software engineers alike Experience working across hardware and software boundaries - comfortable discussing ISA design, compiler interfaces, and runtime scheduling as well as datapath microarchitecture Suitable University education and/or practical experience Strong Preference For Experience at an AI chip startup, AI hardware team at a major tech company (e.g. Google TPU, Meta MTIA, AWS Trainium/Inferentia, Tesla Dojo), or a leading fabless semiconductor company Familiarity with AI compiler stacks (MLIR, XLA, TVM, Triton) and how they interact with hardware architecture decisions Understanding of chip development processes: RTL design, physical design constraints, and post-silicon bring-up Experience with or exposure to on-device / edge inference as well as datacenter-scale deployments Track record of influencing architectural direction through written specs and data-driven arguments rather than authority alone What Success Looks Like In your first 90 days, you will have audited the current architectural approach against a defined set of target AI workloads, identified the top architectural risks to schedule and performance, and established a working rhythm with the HW and SW leads. Within six months, you will be the person who others come to when a cross-team decision needs an owner - and the one who keeps the architecture honest against the AI workloads we are building for. Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want to get it. Two technical sessions with various members of our engineering team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
18/07/2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are looking for a System Architect who thinks in AI first and hardware second. You will own the architectural vision that bridges our AI workload requirements with our silicon and software execution. This is not a role for someone who designs chips and then asks what AI runs on them - it's a role for someone who deeply understands AI models, inference and training pipelines, and then works backwards to define the hardware and software systems that serve them best. You will sit at the intersection of leadership, hardware engineering, and software engineering - translating high-level product strategy into concrete architectural decisions and ensuring all three teams are aligned, unblocked, and pulling in the same direction. What You'll Do Architecture & Technical Leadership Define and own the end-to-end system architecture, from AI workload characterisation through to chip microarchitecture trade-offs and software stack interfaces Drive architectural decisions by starting with AI model and operator analysis - identifying compute, memory bandwidth, data movement, and sparsity patterns that constrain and shape the hardware design Develop and maintain architectural specifications, performance models, and design documents that serve as the single source of truth across teams Evaluate architectural trade-offs (latency vs. throughput, on-chip vs. off-chip memory, dataflow strategies, precision formats) with a quantitative, workload-grounded methodology Stay current with the frontier of AI research (model architectures, training techniques, inference optimisations) and translate emerging trends into architectural foresight Cross-functional Coordination Act as the primary technical bridge between the leadership team, hardware engineering, and software engineering - ensuring that decisions made in one domain are properly communicated, challenged, and integrated in others Partner with the leadership team to translate business goals and product roadmap into architectural requirements and phased execution plans Work closely with the hardware team to ensure microarchitectural decisions are grounded in realistic AI workload demands; push back constructively when hardware-centric thinking diverges from AI requirements Collaborate with the software team to define clean hardware/software interfaces, programming models, and runtime abstractions that make the hardware genuinely usable for AI practitioners Facilitate architectural reviews and design discussions that create shared understanding rather than siloed decision-making Execution & Delivery Identify and resolve cross-team dependencies and ambiguities early, before they become schedule risks Define and track key architectural metrics and milestones throughout the chip development lifecycle (pre-RTL through tape-out and post-silicon validation) Support benchmarking and performance analysis efforts, helping teams understand where the system delivers against AI workload targets and where it falls short What We're Looking For Must-Have Deep, hands-on understanding of modern AI/ML workloads - transformer architectures, convolutional networks, recommendation systems, or similar - including their compute and memory access patterns Proven experience defining system or chip architecture in the context of AI/ML acceleration (inference, training, or both) Ability to build and use analytical performance models (roofline models, memory bandwidth analysis, cycle-accurate estimates) to guide architectural decisions Strong communication skills with the ability to adapt technical depth for leadership, hardware engineers, and software engineers alike Experience working across hardware and software boundaries - comfortable discussing ISA design, compiler interfaces, and runtime scheduling as well as datapath microarchitecture Suitable University education and/or practical experience Strong Preference For Experience at an AI chip startup, AI hardware team at a major tech company (e.g. Google TPU, Meta MTIA, AWS Trainium/Inferentia, Tesla Dojo), or a leading fabless semiconductor company Familiarity with AI compiler stacks (MLIR, XLA, TVM, Triton) and how they interact with hardware architecture decisions Understanding of chip development processes: RTL design, physical design constraints, and post-silicon bring-up Experience with or exposure to on-device / edge inference as well as datacenter-scale deployments Track record of influencing architectural direction through written specs and data-driven arguments rather than authority alone What Success Looks Like In your first 90 days, you will have audited the current architectural approach against a defined set of target AI workloads, identified the top architectural risks to schedule and performance, and established a working rhythm with the HW and SW leads. Within six months, you will be the person who others come to when a cross-team decision needs an owner - and the one who keeps the architecture honest against the AI workloads we are building for. Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want to get it. Two technical sessions with various members of our engineering team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
