Cerebras

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 member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager. The Team The drivers and utilities team forms part of the system software group - working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore's IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products. Responsibilities and Duties Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages Participate in agile development - working as part of a scrum team to develop the right software at pace Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery Candidate Profile Essential: Proven industry experience in software development using programming languages such as C/C++/Python OS Kernel and Device Driver development and deployment experience in Linux or Windows systems Good understanding of lower-level software stack and interactions with the hardware layer Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration Proactive in obtaining engineering or management input to solve issues Motivated to schedule own workload Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. Desirable Experience developing firmware or drivers for GPUs. Knowledge of CUDA or OpenCL Experience working on upstreaming of kernel code / contributing to Linux kernel. Exposure to integration with data centre / cloud service operations - for example integration with Kubernetes or open stack. 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

A leading AI technology company in Cambridge is seeking a Senior Technical Project Manager to bridge technical and management domains in workload management and systems development. This role requires collaborating with engineering leads and ensuring project deliverables align with requirements. Ideal candidates will have a strong background in Agile practices, excellent communication skills, and experience with Jira and Confluence. Offering a competitive salary, flexible working, and comprehensive benefits.

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 Senior Technical Project Manager focussed on Platform you will play a key role in bridging the technical and management domains of teams responsible for the planning and delivery of solutions for workload management, systems management & observability, integrated hardware/software quality assurance and cloud development. You will collaborate with highly technical engineering leads, and multi-functional teams across systems, software, operations, and product to support the flawless delivery of our fully integrated hardware and software AI systems. Responsibilities and Duties Serve as the primary liaison for the technical teams in multi-functional discussions, ensuring alignment on project requirements. Support the planning, development and management of project schedules and deliverables to achieve programme objectives on schedule. Ensure each team's programme deliverables satisfy requirements and are fulfilled by the engineering work. Monitor and track dependencies both within Platform and with other programme teams, communicating any near-term inputs for the individual team backlogs. Represent Platform in programme management syncs and reviews. Efficiently aid teams' navigation of scope changes to minimize impacts on project timelines and outcomes. Work with Release Management and Engineering teams to minimise time-to-delivery and remove blockers for developing at scale. High-level technical understanding of the software, QA, cloud development solutions so that you can contribute meaningfully to priority discussions. Proactively identify risks and dependencies, support the teams' development of mitigation strategies, and inform/escalate issues. Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making. Facilitate process for internal compute resource allocations among engineering teams. Continually improve processes, optimize workflow, and maintain the highest quality levels. Skills and Experience Essential: Bachelor's degree in a relevant subject or equivalent experience. Experience of working in programs with a strong software and hardware mix. Track record of working with Agile project development practices. Excellent communicator, translating complex situations into plain narrative. Outstanding facilitator to help resolve complex issues. Great organiser of people, processes, and product plans. Experience working with Atlassian tools (Jira, Confluence) to represent complex work hierarchies and dependencies. An ability to work independently without daily oversight in projects that can rapidly evolve and change. A demonstrable understanding and application of knowledge and skills managing dependencies, priorities, risks, issues, impacts and constraints. A proven track record of delivering technical output, perhaps as an individual contributor, manager or project manager, especially in software development. Desirable: Minimum of 8 years of relevant experience including at least 3 years in a technical program management role, ideally within multi-functional teams. Understanding of AI or HPC systems and how each component interacts with the system. Knowledge of data centre design, infrastructure provisioning and management. Experience working with satellite teams. 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.

Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI-powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Your responsibilities Design, architect and build agentic and LLM powered systems within our AWS environment, with a focus on production readiness, reliability, security and scale. Provide technical leadership across teams, helping move AI capabilities from R&D and experimentation into maintainable, observable and operationally robust products. Work closely with product managers, engineers, machine learning engineers, data scientists and technical leaders to align technical decisions with user needs, business priorities and long term platform direction. Define and improve engineering standards, reusable patterns, tools, templates and best practices for building agentic AI systems responsibly and consistently. Lead the implementation and deployment of systems at scale, ensuring strong approaches to testing, monitoring, evaluation, guardrails, observability and operational support. Communicate architectural choices, trade offs and technical risks clearly to technical and non technical stakeholders. Mentor and coach engineers, raising the engineering bar across design, delivery, code quality, security, maintainability and pragmatic technical decision making. Contribute to tech wide initiatives, collaborating across the organisation to promote standardisation, responsible AI practices and strong engineering design. Qualifications We are looking for a versatile Staff level engineer with strong software engineering foundations and practical experience designing and delivering production grade systems. Strong software engineering experience in Python and at least one of Java, TypeScript or .NET. Experience designing, building and operating distributed systems in AWS or comparable cloud platform. Practical experience integrating Large Language Models into production systems. Understanding of prompt orchestration, tool usage and LLM interaction patterns. Experience implementing state management, memory strategies, evaluation approaches and guardrails in AI systems. Experience with evaluation, observability and performance optimisation for LLM powered systems. Experience using LLM APIs such as OpenAI, Bedrock or similar. Understanding of secure software development, data protection, compliance and enterprise architecture principles. Experience deploying and operating solutions on cloud platforms, preferably AWS. Excellent communication and influencing skills, with the ability to create shared understanding across technical and non technical audiences. Experience mentoring engineers and raising standards across teams. Benefits 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

Graphcore is seeking a Hardware System Test Engineering Manager in Bristol to lead the Hardware System Test Team. The role involves developing manufacturing test solutions for high-performance modules and managing a multidisciplinary team. Strong leadership skills and technical knowledge in hardware engineering are essential. Benefits include flexible working, private medical insurance, and a commitment to inclusivity. Candidates must have the right to work in the UK, as visa sponsorship is not available.

About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. The Team Graphcore is seeking a motivated and curiousGraduate IT Infrastructure Engineerto join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business. The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security - ensuring performance, resilience, and reliability throughout the organisation. As a graduate, you'll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers. Responsibilities and Duties Supporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation) Assisting with cloud platform operations (e.g. AWS, Azure, GCP) Contributing to automation and infrastructure-as-code initiatives Helping monitor system performance, reliability, and security Troubleshooting technical issues and supporting root cause analysis Working collaboratively across engineering and IT teams Participating in infrastructure improvement projects You'll be supported with structured learning, mentorship, and increasing responsibility as your skills develop. Candidate Profile Bachelor's or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field. Passionate about infrastructure, cloud technologies, and systems engineering Familiar with some of the following (through study, projects, or internships): Linux or Windows server environments Networking fundamentals (TCP/IP, DNS, routing, firewalls) Cloud platforms (AWS/Azure/GCP) Scripting (Python, Bash, PowerShell) Virtualisation or containerisation (VMware, Docker, Kubernetes) Analytical, methodical, and eager to learn Strong communicators who enjoy problem-solving in a team environment We don't expect you to know everything - we value curiosity, initiative, and a willingness to learn. 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.

A technology company specializing in AI in Bristol is seeking a Graduate IT Infrastructure Engineer to support the internal IT infrastructure and assist with cloud platform operations. The role offers exposure to enterprise-scale infrastructure and a collaborative environment. Ideal candidates will hold a degree in relevant fields and have a passion for systems engineering and cloud technologies. Benefits include a competitive salary, flexible working, and comprehensive health coverage.

A leading AI innovator in Bristol is seeking a Graduate Engineer for the Analysis Tools Team. This role involves designing and developing profiling tools to optimize applications for innovative hardware. Candidates should have a degree in Computer Science or a related field and experience in web application development using TypeScript. Strong problem-solving and communication skills are essential. The position offers a competitive salary and an inclusive work environment with flexible working and comprehensive benefits.

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: 6+ years of 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.

A leading AI compute company in Cambridge is hiring an experienced Machine Learning Engineer to benchmark models and frameworks. This role involves developing and maintaining automation for testing performance across ML systems. The ideal candidate has over 6 years of experience in machine learning, proficiency in Python, and familiarity with major ML frameworks like PyTorch or TensorFlow. The company offers flexible working, competitive salary, and comprehensive benefits in an inclusive environment.

A leading AI compute company in the UK is seeking a Machine Learning Engineer to benchmark and validate ML software stacks. The ideal candidate will have over 6 years of experience in ML engineering, strong proficiency in Python, and hands-on experience with frameworks like PyTorch and TensorFlow. Responsibilities include collaborating on testing automation and performance validation across AI workloads. Comprehensive benefits and a commitment to an inclusive work environment are offered.

About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a Graduate Engineer in the Analysis Tools Team you will work as part of a team developing profiling tools to help users optimise their applications on Graphcore hardware The Team The Analysis Tools team builds profiling tools to help users optimise their applications for Graphcore hardware. The team is responsible for collecting profiling information from the hardware and software, processing the profiling data and presenting it to the user via libraries, command line tools and graphical applications. Responsibilities and Duties Design, development and testing of features for profiling. Fixing bugs and supporting customers. Knowledge sharing and collaborating with other engineers in the team. Candidate Profile Essential: Bachelor's or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Experience in developing web applications using TypeScript and modern frameworks (ideally React). Problem-solving skills and ability to debug and resolve issues. Communication and collaboration skills. Desirable: Experience using C++ or Rust. Experience with performance profiling tools. Experience with relational databases. Understanding of memory management, multithreading, and hardware utilisation. Knowledge of continuous integration/continuous delivery pipelines and build tools 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.

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: 6+ years of 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.

A technology firm specializing in AI compute is looking for a Software Engineer to develop and support kernels for linear algebra operations on new AI hardware. Ideal candidates possess excellent C++ and Python programming skills and thrive on solving complex problems. The company offers competitive benefits, including flexible working, health insurance, and a supportive work environment in their Bristol office.

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.

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

A leading AI compute firm in Cambridge is looking for an experienced software engineer to design and validate high-quality software systems. The ideal candidate emphasizes maintaining code quality and enjoys building reliable systems. Responsibilities include developing automation for a complex ML software stack, working with CI/CD pipelines, and mentoring junior engineers. A competitive salary and comprehensive benefits are offered in a supportive work environment.