Selection changes the language of the page/content Cambridge, England, United Kingdom Machine Learning and AI Play a part in building the next revolution of machine learning technology. We're looking for a passionate researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs and generative models. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers, and publish your results in high-quality scientific venues. Description You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible. You will define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple. Minimum Qualifications PhD, or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in machine learning research. Ability to formulate a research problem, design, experiment, implement and communicate solutions. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Preferred Qualifications Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX Proven industry experience Strong mathematical skills in differential calculus, probability, statistics. Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase. Ability to work as a team player in a diverse collaborative environment. You have proposed through previous publications impactful methods in areas of interest to the group, such as generative modeling (flow matching, diffusion, etc.), LLM/VLM training/fine-tuning/inference, neural network theory, or scaling laws. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
07/02/2026
Full time
Selection changes the language of the page/content Cambridge, England, United Kingdom Machine Learning and AI Play a part in building the next revolution of machine learning technology. We're looking for a passionate researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs and generative models. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers, and publish your results in high-quality scientific venues. Description You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible. You will define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple. Minimum Qualifications PhD, or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in machine learning research. Ability to formulate a research problem, design, experiment, implement and communicate solutions. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Preferred Qualifications Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX Proven industry experience Strong mathematical skills in differential calculus, probability, statistics. Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase. Ability to work as a team player in a diverse collaborative environment. You have proposed through previous publications impactful methods in areas of interest to the group, such as generative modeling (flow matching, diffusion, etc.), LLM/VLM training/fine-tuning/inference, neural network theory, or scaling laws. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
Cambridge, England, United Kingdom Machine Learning and AI We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real world problems at scale while preserving user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! Description On the Siri team, you will work alongside a fast growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural and useful. You will see your ideas not only published in papers, but also improve the experience of billions of users. As a researcher on our team, you'll help us advance the state of the art technology for speech and multi modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency, preserving privacy, saving energy and bringing your innovations into production. Minimum Qualifications Proven expertise in efficient deep learning with publication record in conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow Masters Degree or PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience Preferred Qualifications Strong expertise in machine learning, model compression and algorithm optimization techniques A track record in software design, coding and parallel computing Experience with large scale machine learning training/evaluation On device intelligence and learning with strong privacy protections Ability to work in a collaborative environment At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
06/02/2026
Full time
Cambridge, England, United Kingdom Machine Learning and AI We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real world problems at scale while preserving user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! Description On the Siri team, you will work alongside a fast growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural and useful. You will see your ideas not only published in papers, but also improve the experience of billions of users. As a researcher on our team, you'll help us advance the state of the art technology for speech and multi modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency, preserving privacy, saving energy and bringing your innovations into production. Minimum Qualifications Proven expertise in efficient deep learning with publication record in conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow Masters Degree or PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience Preferred Qualifications Strong expertise in machine learning, model compression and algorithm optimization techniques A track record in software design, coding and parallel computing Experience with large scale machine learning training/evaluation On device intelligence and learning with strong privacy protections Ability to work in a collaborative environment At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
A leading technology company in Cambridge seeks a Machine Learning and AI researcher to advance Siri Conversational AI. You will solve core challenges in efficient machine learning, develop novel deep learning technologies, and improve user experience for billions. A strong record in deep learning, proficiency in Python, and a Master's or PhD in a technical field are essential. This role offers opportunities to publish research and innovate within a collaborative environment.
06/02/2026
Full time
A leading technology company in Cambridge seeks a Machine Learning and AI researcher to advance Siri Conversational AI. You will solve core challenges in efficient machine learning, develop novel deep learning technologies, and improve user experience for billions. A strong record in deep learning, proficiency in Python, and a Master's or PhD in a technical field are essential. This role offers opportunities to publish research and innovate within a collaborative environment.
Quality Automation Engineer- Silicon Engineering Join Apple's Silicon Engineering Group and help build the foundational software that empowers our engineers to design the world's most advanced silicon. We are looking for a Quality Automation Engineer to drive the quality and reliability of the critical tools at the heart of Apple's chip design process. In this role, you will be instrumental in ensuring the robustness of the software ecosystem that enables the creation of future Apple products . Description Partner with development teams to review feature specifications and define comprehensive validation strategies .Design and execute detailed test plans with a focus on scalable automation across functional, performance, and security testing.Architect, implement, and maintain robust automation frameworks and test suites within a sophisticated CI/CD environment.Collaborate with engineering and operations to investigate, triage, and diagnose the root cause of complex defects.Drive the bug lifecycle from discovery to resolution, providing clear issue reports and proactively communicating program risks.Develop and track key quality metrics to provide clear visibility into product health and release readiness.Champion continuous improvement in our engineering processes and methodologies. Minimum Qualifications Exceptional communication and collaboration skills, with a proven ability to work effectively in a cross-functional team environment. Proficiency in modern programming languages, with strong experience in the Scala or Java ecosystems. Deep understanding of web services, REST APIs, and client-server architecture. Hands-on experience architecting and maintaining test automation within a CI/CD pipeline using tools like Jenkins, TeamCity, or similar. Expertise with version control systems (Git, Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with containerization and orchestration technologies such as Kubernetes. Experience with build automation tools like Gradle or Maven. Familiarity with XML toolchains and related technologies (XSLT, XPath, XSD, Schematron).
02/02/2026
Full time
Quality Automation Engineer- Silicon Engineering Join Apple's Silicon Engineering Group and help build the foundational software that empowers our engineers to design the world's most advanced silicon. We are looking for a Quality Automation Engineer to drive the quality and reliability of the critical tools at the heart of Apple's chip design process. In this role, you will be instrumental in ensuring the robustness of the software ecosystem that enables the creation of future Apple products . Description Partner with development teams to review feature specifications and define comprehensive validation strategies .Design and execute detailed test plans with a focus on scalable automation across functional, performance, and security testing.Architect, implement, and maintain robust automation frameworks and test suites within a sophisticated CI/CD environment.Collaborate with engineering and operations to investigate, triage, and diagnose the root cause of complex defects.Drive the bug lifecycle from discovery to resolution, providing clear issue reports and proactively communicating program risks.Develop and track key quality metrics to provide clear visibility into product health and release readiness.Champion continuous improvement in our engineering processes and methodologies. Minimum Qualifications Exceptional communication and collaboration skills, with a proven ability to work effectively in a cross-functional team environment. Proficiency in modern programming languages, with strong experience in the Scala or Java ecosystems. Deep understanding of web services, REST APIs, and client-server architecture. Hands-on experience architecting and maintaining test automation within a CI/CD pipeline using tools like Jenkins, TeamCity, or similar. Expertise with version control systems (Git, Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with containerization and orchestration technologies such as Kubernetes. Experience with build automation tools like Gradle or Maven. Familiarity with XML toolchains and related technologies (XSLT, XPath, XSD, Schematron).
A leading technology company in Cambridge is seeking a Quality Automation Engineer to enhance the reliability of software tools in their chip design process. The role requires experience in programming (Scala/Java) and CI/CD environments. You'll collaborate with teams to define validation strategies, maintain test frameworks, and ensure product quality readiness, all within a culture of continuous improvement.
02/02/2026
Full time
A leading technology company in Cambridge is seeking a Quality Automation Engineer to enhance the reliability of software tools in their chip design process. The role requires experience in programming (Scala/Java) and CI/CD environments. You'll collaborate with teams to define validation strategies, maintain test frameworks, and ensure product quality readiness, all within a culture of continuous improvement.
Selection changes the language of the page/content Platform Engineer for Operational Data London, England, United Kingdom Software and Services At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Apple Pay has brought the Apple Wallet to millions of customers worldwide, enabling them to carry digital credentials such as credit and debit cards, transit passes, hotel and car keys, theme park tickets - and now, mobile driver's licences - all in their Apple Wallet. Building and scaling these features requires not just world-class engineering, but a deep understanding of how institutions around the world operate, implement standards, and protect user data and privacy.You'll have the opportunity to tackle the intricate challenge of building resilient and reliable distributed software systems at Apple's scale as a Developer Platform Engineer at the intersection between data platform and operational data components and microservices architecture. You will be given flexibility to explore creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy, and responsibility, to take full ownership of your solutions.The role is a hands-on contributor to our internal developer platform. You will engineer solutions contributing to both tech stacks and bring the appropriate degree of convergence. You will navigate the layers between application, platform, cloud, and infrastructure engineering. This will be coding, architecture and operational work in a DevOps team.You'll join a nimble team involved in every stage of the platform-as-a-product and will design, build, test, deliver and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through the lived experience of operating, monitoring, and providing on-call support for the software you build.One key area of responsibility would be dev, prod operations, automation, and cross-functional efforts to facilitate adoption of the platform capabilities by the wider WPC organisation and their use in production. Our solutions are shaped by deep understanding of the problems which will inform what we build in the platform.This role values deep technical expertise and its application in a simple, opinionated internal developer platform. The ultimate goal of our platform is two-fold: modernise the technical stack and the engineering culture in our organisation. The success metric is platform adoption and its continuous use inside WPC, to continue shipping amazing Apple products.The use cases that rely on our work range from customer-facing to internal back office, near-real-time and batch, event-driven microservices and OLTP and OLAP workloads. The products we look after form an internal developer platform that favours simplicity and common solutions with a high degree of automation and composability.This role may require occasional international travel. Description As a key member of the team, you'll participate in technical discussions, write specifications, review code, and produce documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines. Responsibilities Work with our platform users to enable adoption and work tactically at the right level between all aspects of the platform or the services we leverage. We are here to enable others. Contribute to technical alignment between all functions offered by the platform. You will work a lot in the integration and complementarity of the services, aiming to converge the solutions space towards a simple, reusable and opinionated set. Have a particular focus on data services convergence: transactional, at rest and in transit. This will extend to the integration with analytical systems and cross-functional support (for example data compliance, data contracts) Be a product advocate for the platform itself: notice the opportunities between different solutions, assess whether a platform solution would bring value and work on the delivery of this. Our objective is to pursue a platform-as-a-product delivery. Provide hands-on, evidence-based and example-based decisions. Sometimes this means getting familiar with technologies you did not know before Drive the platform itself and the culture to a model of modern engineering practices. Guide foundational and architectural design and delivery- including education, documentation and collaborative delivery. Our work must be approachable. Minimum Qualifications Comprehensive experience as a software engineer and product-oriented architecture. A solid understanding of distributed systems fundamentals. An ability to communicate thoughtfully and clearly, both verbally and in writing, to discuss complex technical concepts with diverse audiences, including global teams and external partners. The tenacity and perseverance to drive a complex project all the way from conception to production. No formal degree is required. What matters most is your mindset, your initiative, and your ability to apply your skills to real-world applications. Preferred Qualifications A commitment to continuous learning and improvement, and curiosity for new technologies, techniques and patterns in pursuit of engineering excellence. A track record of building and sustaining healthy long-term relationships within your team, and beyond its boundaries. Practical experience with internal developer platform and commodity data engineering products with bonus points for working in the overlap between services and data. Demonstrable experience of working on a data mesh or an event mesh or similar architectures. Experience converging evolving diverse and varied architectures into unified opinionated solutions. Been an advocate for continuous delivery, DevOps and similar best practices and familiarity with CI/CD pipelines and infrastructure as code. Familiarity with our technical stack and its major components: AWS, Java, Kotlin, HTTP/REST, gRPC, container orchestration with Kubernetes and the management plane with Controller and Operators, Data Science tools like Iceberg, Spark, Flink, SQL/NoSQL databases (e.g. Aurora, DynamoDB, CockroachDB, Oracle). Time spent architecting, building, supporting or otherwise working on cloud-native (e.g. AWS) applications with resilience as a core feature. Experience with observability tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog). An appreciation for, and understanding of security, privacy, and cryptography. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
02/02/2026
Full time
Selection changes the language of the page/content Platform Engineer for Operational Data London, England, United Kingdom Software and Services At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Apple Pay has brought the Apple Wallet to millions of customers worldwide, enabling them to carry digital credentials such as credit and debit cards, transit passes, hotel and car keys, theme park tickets - and now, mobile driver's licences - all in their Apple Wallet. Building and scaling these features requires not just world-class engineering, but a deep understanding of how institutions around the world operate, implement standards, and protect user data and privacy.You'll have the opportunity to tackle the intricate challenge of building resilient and reliable distributed software systems at Apple's scale as a Developer Platform Engineer at the intersection between data platform and operational data components and microservices architecture. You will be given flexibility to explore creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy, and responsibility, to take full ownership of your solutions.The role is a hands-on contributor to our internal developer platform. You will engineer solutions contributing to both tech stacks and bring the appropriate degree of convergence. You will navigate the layers between application, platform, cloud, and infrastructure engineering. This will be coding, architecture and operational work in a DevOps team.You'll join a nimble team involved in every stage of the platform-as-a-product and will design, build, test, deliver and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through the lived experience of operating, monitoring, and providing on-call support for the software you build.One key area of responsibility would be dev, prod operations, automation, and cross-functional efforts to facilitate adoption of the platform capabilities by the wider WPC organisation and their use in production. Our solutions are shaped by deep understanding of the problems which will inform what we build in the platform.This role values deep technical expertise and its application in a simple, opinionated internal developer platform. The ultimate goal of our platform is two-fold: modernise the technical stack and the engineering culture in our organisation. The success metric is platform adoption and its continuous use inside WPC, to continue shipping amazing Apple products.The use cases that rely on our work range from customer-facing to internal back office, near-real-time and batch, event-driven microservices and OLTP and OLAP workloads. The products we look after form an internal developer platform that favours simplicity and common solutions with a high degree of automation and composability.This role may require occasional international travel. Description As a key member of the team, you'll participate in technical discussions, write specifications, review code, and produce documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines. Responsibilities Work with our platform users to enable adoption and work tactically at the right level between all aspects of the platform or the services we leverage. We are here to enable others. Contribute to technical alignment between all functions offered by the platform. You will work a lot in the integration and complementarity of the services, aiming to converge the solutions space towards a simple, reusable and opinionated set. Have a particular focus on data services convergence: transactional, at rest and in transit. This will extend to the integration with analytical systems and cross-functional support (for example data compliance, data contracts) Be a product advocate for the platform itself: notice the opportunities between different solutions, assess whether a platform solution would bring value and work on the delivery of this. Our objective is to pursue a platform-as-a-product delivery. Provide hands-on, evidence-based and example-based decisions. Sometimes this means getting familiar with technologies you did not know before Drive the platform itself and the culture to a model of modern engineering practices. Guide foundational and architectural design and delivery- including education, documentation and collaborative delivery. Our work must be approachable. Minimum Qualifications Comprehensive experience as a software engineer and product-oriented architecture. A solid understanding of distributed systems fundamentals. An ability to communicate thoughtfully and clearly, both verbally and in writing, to discuss complex technical concepts with diverse audiences, including global teams and external partners. The tenacity and perseverance to drive a complex project all the way from conception to production. No formal degree is required. What matters most is your mindset, your initiative, and your ability to apply your skills to real-world applications. Preferred Qualifications A commitment to continuous learning and improvement, and curiosity for new technologies, techniques and patterns in pursuit of engineering excellence. A track record of building and sustaining healthy long-term relationships within your team, and beyond its boundaries. Practical experience with internal developer platform and commodity data engineering products with bonus points for working in the overlap between services and data. Demonstrable experience of working on a data mesh or an event mesh or similar architectures. Experience converging evolving diverse and varied architectures into unified opinionated solutions. Been an advocate for continuous delivery, DevOps and similar best practices and familiarity with CI/CD pipelines and infrastructure as code. Familiarity with our technical stack and its major components: AWS, Java, Kotlin, HTTP/REST, gRPC, container orchestration with Kubernetes and the management plane with Controller and Operators, Data Science tools like Iceberg, Spark, Flink, SQL/NoSQL databases (e.g. Aurora, DynamoDB, CockroachDB, Oracle). Time spent architecting, building, supporting or otherwise working on cloud-native (e.g. AWS) applications with resilience as a core feature. Experience with observability tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog). An appreciation for, and understanding of security, privacy, and cryptography. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
A leading tech company is seeking a Platform Engineer for Operational Data in London. In this role, you will develop solutions for an internal developer platform, focusing on distributed system architecture and automation practices. Candidates should have comprehensive experience in software engineering with strong skills in data services and cloud-native applications. The role requires collaboration, clear communication, and a commitment to continuous learning.
02/02/2026
Full time
A leading tech company is seeking a Platform Engineer for Operational Data in London. In this role, you will develop solutions for an internal developer platform, focusing on distributed system architecture and automation practices. Candidates should have comprehensive experience in software engineering with strong skills in data services and cloud-native applications. The role requires collaboration, clear communication, and a commitment to continuous learning.
London, England, United Kingdom Software and Services Description The Apple Framebuffer Driver team develops the display software driver for Apple's hardware technologies on all Mac products. We are looking for an engineer who is driven, curious, collaborative and passionate about being on the cutting edge of new display technology. The successful candidate will be problem solver with a passion for excellence, quality, attention to detail. Minimum Qualifications Excellent programming skills and knowledge of C/C++ Development experience on Linux or macOS Experience using and implementing general operating system concepts and strong kernel-mode device driver development skills Experience with systems engineering or low-level hardware, firmware and driver programming Preferred Qualifications Excellent software design, problem solving and debugging skills Experience with embedded systems Experience with parallel and asynchronous processing Experience with hardware bring-up and debugging Knowledge of scaling, filtering, and video formats a plus
02/02/2026
Full time
London, England, United Kingdom Software and Services Description The Apple Framebuffer Driver team develops the display software driver for Apple's hardware technologies on all Mac products. We are looking for an engineer who is driven, curious, collaborative and passionate about being on the cutting edge of new display technology. The successful candidate will be problem solver with a passion for excellence, quality, attention to detail. Minimum Qualifications Excellent programming skills and knowledge of C/C++ Development experience on Linux or macOS Experience using and implementing general operating system concepts and strong kernel-mode device driver development skills Experience with systems engineering or low-level hardware, firmware and driver programming Preferred Qualifications Excellent software design, problem solving and debugging skills Experience with embedded systems Experience with parallel and asynchronous processing Experience with hardware bring-up and debugging Knowledge of scaling, filtering, and video formats a plus
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you will help design and manufacture our next-generation, high-performance, power-efficient processor and system-on-chip (SoC). You will ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you'll be crafting and building the technology that fuels Apple's devices. Together, we enable our customers to do all the things they love with their devices. Description In this role, you will be responsible for power analysis and optimisation of Apple's GPU products. As part of the Power Optimisation team, you will simulate the power consumption of components within the GPU with various workloads. You will analyse the data to look for opportunities to improve the energy efficiency of the components, and work with the design and implementation teams to make improvements to the logic throughout the development process.You will be working with RTL and gate level simulations, emulation and power analysis tools to generate data, analysing that data using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team.As well as driving the optimisation of the GPU logic, you will have the opportunity to enhance the power analysis and optimisation methodologies and develop new techniques. Minimum Qualifications Good understanding of RTL design Self motivated and independent worker Good understanding of circuit-level power consumption and low power design techniques Preferred Qualifications Proficiency in scripting languages such as Tcl, Python or similar
02/02/2026
Full time
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you will help design and manufacture our next-generation, high-performance, power-efficient processor and system-on-chip (SoC). You will ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you'll be crafting and building the technology that fuels Apple's devices. Together, we enable our customers to do all the things they love with their devices. Description In this role, you will be responsible for power analysis and optimisation of Apple's GPU products. As part of the Power Optimisation team, you will simulate the power consumption of components within the GPU with various workloads. You will analyse the data to look for opportunities to improve the energy efficiency of the components, and work with the design and implementation teams to make improvements to the logic throughout the development process.You will be working with RTL and gate level simulations, emulation and power analysis tools to generate data, analysing that data using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team.As well as driving the optimisation of the GPU logic, you will have the opportunity to enhance the power analysis and optimisation methodologies and develop new techniques. Minimum Qualifications Good understanding of RTL design Self motivated and independent worker Good understanding of circuit-level power consumption and low power design techniques Preferred Qualifications Proficiency in scripting languages such as Tcl, Python or similar
Cambridge, England, United Kingdom Software and Services Description In this influential role, you will be instrumental in leading the design, prototyping, and development of innovative user interfaces and experiences for the Photos app and related media-centric features. You will spearhead the creation of novel AI-driven experiences, leveraging Apple Intelligence models to build intuitive, engaging, and visually stunning interactions. Your responsibilities will include architecting robust and scalable solutions, collaborating closely with design, AI/ML specialists, research scientists, and other engineering teams to translate ambitious concepts into polished, shippable features.You will work across the full product cycle, from ideation and rapid prototyping, often using SwiftUI, to delivering high-performance, high-quality code for features that reach hundreds of millions of users. We are seeking a seasoned engineer passionate about building beautiful UIs, exploring innovative AI applications, and pushing the boundaries of how technology can enhance emotional connection and user delight with their photo and video libraries. You will mentor junior engineers, drive technical decisions, and contribute to the team's strategic direction. Minimum Qualifications Proven experience architecting and delivering complex, user-facing applications with a strong focus on the user interface. Demonstrated ability to integrate machine learning models or AI-driven logic into polished, consumer-facing product features. Experience leading the technical design and architecture of new features, from concept and prototyping through to release. A strong foundation in software engineering principles, including data structures, software architecture, and a proven ability to solve complex problems within a cross-functional team. Preferred Qualifications Expertise with modern, declarative UI frameworks (e.g., SwiftUI) to build sophisticated and performant interfaces. Experience with media or graphics-rendering pipelines and frameworks (e.g., AVKit, Core Animation, Metal). A track record of analyzing and optimizing application performance, particularly for media-heavy or computationally intensive features. Demonstrated success in mentoring and providing technical guidance to other engineers. A history of shipping and iterating on multiple high-impact, consumer-facing applications at a large scale. A strong passion for photography, visual storytelling, and crafting emotionally resonant digital products.
02/02/2026
Full time
Cambridge, England, United Kingdom Software and Services Description In this influential role, you will be instrumental in leading the design, prototyping, and development of innovative user interfaces and experiences for the Photos app and related media-centric features. You will spearhead the creation of novel AI-driven experiences, leveraging Apple Intelligence models to build intuitive, engaging, and visually stunning interactions. Your responsibilities will include architecting robust and scalable solutions, collaborating closely with design, AI/ML specialists, research scientists, and other engineering teams to translate ambitious concepts into polished, shippable features.You will work across the full product cycle, from ideation and rapid prototyping, often using SwiftUI, to delivering high-performance, high-quality code for features that reach hundreds of millions of users. We are seeking a seasoned engineer passionate about building beautiful UIs, exploring innovative AI applications, and pushing the boundaries of how technology can enhance emotional connection and user delight with their photo and video libraries. You will mentor junior engineers, drive technical decisions, and contribute to the team's strategic direction. Minimum Qualifications Proven experience architecting and delivering complex, user-facing applications with a strong focus on the user interface. Demonstrated ability to integrate machine learning models or AI-driven logic into polished, consumer-facing product features. Experience leading the technical design and architecture of new features, from concept and prototyping through to release. A strong foundation in software engineering principles, including data structures, software architecture, and a proven ability to solve complex problems within a cross-functional team. Preferred Qualifications Expertise with modern, declarative UI frameworks (e.g., SwiftUI) to build sophisticated and performant interfaces. Experience with media or graphics-rendering pipelines and frameworks (e.g., AVKit, Core Animation, Metal). A track record of analyzing and optimizing application performance, particularly for media-heavy or computationally intensive features. Demonstrated success in mentoring and providing technical guidance to other engineers. A history of shipping and iterating on multiple high-impact, consumer-facing applications at a large scale. A strong passion for photography, visual storytelling, and crafting emotionally resonant digital products.
Do you love crafting elegant solutions to highly complex challenges? Are you a big-picture forward-thinking who understands how each element affects all the others? At Apple, our Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all our technologies work in unison!We are looking for an experienced performance architect to join our dynamic team. We own the performance models of several of the complex multi-media IPs in Apple's SoCs. These IPs are central to the customer experience in almost all of Apple's products from Apple Watch, iPhone, iPad, MacBook, to next-generation product lines. In this highly visible role, you will collaborate closely with cross-functional teams to develop, verify, and use performance models for data-driven architectural exploration and validation. Description As a GPU Architect, you will collaborate with a team responsible for various aspects of the GPU hardware, including hardware-accelerated ray tracing and programmable shader cores. Your role will involve identifying areas for enhancing the performance and power characteristics of Apple GPUs. You will contribute to the development of prototype software implementations for simulated future hardware, gathering data and measurements to validate or invalidate these concepts. This collaborative effort will involve system architecture, software engineering, and design teams to assess the feasibility of these ideas. You will present these ideas to wider teams and create and evolve high-level specifications for designers, micro-architects and SW teams. Minimum Qualifications A strong background in GPU, CPU, DSP or ISP architecture Knowledge of micro architectural specification and implementation Ability to combine micro-architecture knowledge and performance bottleneck analysis on relevant workloads to conceive novel ideas Ability to clearly communicate complex issues, self-motivated and well-organised Preferred Qualifications Familiarity with performance simulation environments and ability to take ideas from concept to C/C++ simulator implementation.
02/02/2026
Full time
Do you love crafting elegant solutions to highly complex challenges? Are you a big-picture forward-thinking who understands how each element affects all the others? At Apple, our Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all our technologies work in unison!We are looking for an experienced performance architect to join our dynamic team. We own the performance models of several of the complex multi-media IPs in Apple's SoCs. These IPs are central to the customer experience in almost all of Apple's products from Apple Watch, iPhone, iPad, MacBook, to next-generation product lines. In this highly visible role, you will collaborate closely with cross-functional teams to develop, verify, and use performance models for data-driven architectural exploration and validation. Description As a GPU Architect, you will collaborate with a team responsible for various aspects of the GPU hardware, including hardware-accelerated ray tracing and programmable shader cores. Your role will involve identifying areas for enhancing the performance and power characteristics of Apple GPUs. You will contribute to the development of prototype software implementations for simulated future hardware, gathering data and measurements to validate or invalidate these concepts. This collaborative effort will involve system architecture, software engineering, and design teams to assess the feasibility of these ideas. You will present these ideas to wider teams and create and evolve high-level specifications for designers, micro-architects and SW teams. Minimum Qualifications A strong background in GPU, CPU, DSP or ISP architecture Knowledge of micro architectural specification and implementation Ability to combine micro-architecture knowledge and performance bottleneck analysis on relevant workloads to conceive novel ideas Ability to clearly communicate complex issues, self-motivated and well-organised Preferred Qualifications Familiarity with performance simulation environments and ability to take ideas from concept to C/C++ simulator implementation.
London, England, United Kingdom Software and Services Description The Virtualization team is looking for a highly skilled and motivated software engineer to join our core development group. We are responsible for building the foundational virtualization technologies that power innovative features, enabling developers and users to run diverse operating systems and environments reliably on their Mac.As a member of this team, you will work at the heart of our virtualization stack, contributing to the kernel-level support, the Hypervisor framework, and the Virtualization framework. This is a unique opportunity to work on low-level system software, influence hardware-software co-design, and build highly reliable systems that are critical to the Apple ecosystem.If you are passionate about operating systems, computer architecture, and building robust, high-performance systems, we encourage you to apply.Key Responsibilities- Design, implement, and maintain kernel-level virtualization support for Apple platforms.- Develop and enhance features within Apple's Hypervisor and Virtualization frameworks.- Implement and improve device emulation and bus emulation logic to support a wide range of virtualized hardware.- Collaborate with hardware teams to integrate support for new virtualization-related features.- Write high-quality, well-tested, and maintainable code in C/C++.- Design and implement comprehensive test suites to ensure the reliability and correctness of virtualization components.- Debug complex issues spanning kernel, hypervisor, user-space, and guest operating system layers.- Optimize performance of virtual machines.- Work cross-functionally with other teams (e.g., drivers, frameworks, QA) to deliver integrated solutions.- Participate in code reviews and technical design discussions. Minimum Qualifications Knowledge of Armv8 or Armv9 CPUs architectures. Knowledge of OS internals and system programming, device drivers, and memory management. Excellent C and C++ programming skills. Preferred Qualifications Proficient in virtualization technologies. Skilled in kernel and device driver development. Familiar with Arm assembly programming. Knowledgeable in hardware virtualization. Well-versed in testing methodologies and designing testable systems. Strong collaborator with excellent written and verbal communication skills.
02/02/2026
Full time
London, England, United Kingdom Software and Services Description The Virtualization team is looking for a highly skilled and motivated software engineer to join our core development group. We are responsible for building the foundational virtualization technologies that power innovative features, enabling developers and users to run diverse operating systems and environments reliably on their Mac.As a member of this team, you will work at the heart of our virtualization stack, contributing to the kernel-level support, the Hypervisor framework, and the Virtualization framework. This is a unique opportunity to work on low-level system software, influence hardware-software co-design, and build highly reliable systems that are critical to the Apple ecosystem.If you are passionate about operating systems, computer architecture, and building robust, high-performance systems, we encourage you to apply.Key Responsibilities- Design, implement, and maintain kernel-level virtualization support for Apple platforms.- Develop and enhance features within Apple's Hypervisor and Virtualization frameworks.- Implement and improve device emulation and bus emulation logic to support a wide range of virtualized hardware.- Collaborate with hardware teams to integrate support for new virtualization-related features.- Write high-quality, well-tested, and maintainable code in C/C++.- Design and implement comprehensive test suites to ensure the reliability and correctness of virtualization components.- Debug complex issues spanning kernel, hypervisor, user-space, and guest operating system layers.- Optimize performance of virtual machines.- Work cross-functionally with other teams (e.g., drivers, frameworks, QA) to deliver integrated solutions.- Participate in code reviews and technical design discussions. Minimum Qualifications Knowledge of Armv8 or Armv9 CPUs architectures. Knowledge of OS internals and system programming, device drivers, and memory management. Excellent C and C++ programming skills. Preferred Qualifications Proficient in virtualization technologies. Skilled in kernel and device driver development. Familiar with Arm assembly programming. Knowledgeable in hardware virtualization. Well-versed in testing methodologies and designing testable systems. Strong collaborator with excellent written and verbal communication skills.