Careers at Graphcore

Location: Bristol or Cambridge, UK Salary: £45,000 per annum Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Put your programming and Linux skills to work on the software that helps Graphcore’s AI systems run reliably. As a Graduate Software Engineer in System Software Quality Assurance (QA), you’ll help validate low-level firmware, Linux kernel drivers and platform tools. You’ll design and develop tests, investigate issues and give development teams clear feedback on software quality. You’ll also maintain and improve continuous integration pipelines across different platforms. Working closely with System Software development teams, you’ll help strengthen test-driven development and solve practical engineering problems that matter to customers. Your team and support You will be working closely with a team of passionate engineers who will help you each step of the way. Your buddy will be Myles who has recently completed his own graduate program, they can not only help you with becoming an individual contributor but also suggest some fascinating travel destinations for your next holiday. How you’ll learn and grow During the two-year programme, you’ll deepen your systems knowledge through hands-on testing across firmware, Linux kernel drivers and platform tools. Designing tests will help you understand the foundations on which some of the most popular models run, finding and debugging defects will teach you about the low-level software and interactions with the hardware. You will have a chance to work in the lab configuring hardware connections and work on building automation pipelines to seamlessly run tests in loop and process results. Collaboration with development teams will help you connect your findings to software improvements, explain technical issues clearly and develop your engineering judgement from design through delivery. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Data Science or a related field Experience working with Linux internals and or firmware Strong proficiency in C/C++ and Python Clear written and verbal communication, with a collaborative, practical approach to solving challenging technical problems and taking ownership of quality work You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Knowledge of low-level software testing, virtualisation, hypervisor concepts or automation pipelines would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent System Software QA role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we’re looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at Graphcore 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 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.

About the job Lead the system software organisation that turns complex hardware platforms into reliable Graphcore systems. As Director of System Software, you will report to the VP of Software and turn software strategy into clear priorities, plans and outcomes. You will lead the teams delivering firmware, drivers, OpenBMC and system software QA. Your work will shape platform bring-up, production release and long-term support across Graphcore systems. You will align technical decisions with business priorities, delivery milestones and product readiness. You will build a strong engineering organisation, developing managers, technical leaders and engineers. You will own execution, quality and cross-functional delivery across hardware, silicon, software and product teams. This is a role for a leader who can think big, act fast and take responsibility for complex system outcomes. The team and culture System Software works close to the hardware, where small decisions can shape product reliability at scale. The team operates through clear ownership, evidence-based planning and direct technical debate. You will lead managers and specialists across firmware, drivers, OpenBMC and QA. Decisions are made through engineering judgement, clear trade-offs and a strong focus on delivery impact. You will be expected to speak up, challenge assumptions and help resolve issues across hardware and software boundaries. Pace matters, but so do maintainability, security and long term quality. What we’re looking for · A strong track record leading system software teams across closely coupled hardware and software programmes. · Experience managing managers or multiple technical teams, with clear ownership of delivery outcomes. · Proven ability to build, coach and develop engineering leaders through change and technical uncertainty. · Strong judgement across planning, resourcing, dependencies, risk and production release readiness. · Experience embedding validation, automated testing, hardware-in-the-loop testing and clear release criteria. · Credible technical breadth across firmware, drivers, OpenBMC, QA or related low-level software domains. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore’s success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at Graphcore 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to lead the system software organisation behind Graphcore’s next generation platforms, we’d love to hear from you. Apply now to be part of the journey. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we’re looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at Graphcore 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 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we’re looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at Graphcore 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 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.

About the job Build the debugger that helps developers unlock more from Graphcore AI processors. As a Senior Software Engineer in our Debugger team, you will help define and implement Graphcore’s next-generation debugging capability. Your work will support developers building and optimising workloads on our advanced AI processors. You will adapt and expand debugger functionality, resolving complex issues across software and hardware boundaries. The tools you build will help internal and external users understand behaviour, improve performance and move faster. You will work closely with software, firmware, hardware, partner and customer teams. This role offers rare depth across processor architecture, toolchains and real developer workflows. The team and culture Work happens close to the technology, with engineers expected to investigate deeply, speak up and take ownership. The team uses Agile ways of working to keep progress visible and decisions moving. You will collaborate across software, firmware and hardware teams to identify debug feature opportunities. Decisions are shaped by technical evidence, user needs and the judgement of engineers closest to the problem. What we’re looking for · Experience using debuggers to resolve complex program issues. · Strong low-level programming skills in C, C++ or Rust. · Strong understanding of processor architectures. · Ability to communicate clearly across software, firmware and hardware teams. · A proactive, self-driven approach to improving product quality and functionality. · Familiarity with compiler toolchains, debugging protocols, Python, IDE development or PyTorch. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore’s success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the debugging experience for developers working on Graphcore AI processors, we’d love to hear from you. Apply now to help build the tools that make complex systems clearer.

About the job Own the test strategy that proves Graphcore’s next generation drivers are production-ready. As a Staff System Software Engineer, you will shape how Graphcore validates complex device drivers and platform tools. You will bring technical depth across Linux kernels, drivers and systems software. Your work will help raise the quality bar for products that support the next generation of AI compute. You will influence design decisions, guide test infrastructure and drive reliability across the stack. You will design, build, execute and report tests across component, system and acceptance levels. You will debug difficult issues using hardware and software tools, simulators and emulators. This is a hands-on technical leadership role with broad reach. You will help teams move quickly while protecting production quality. The team and culture The Drivers QA team verifies low-level kernel drivers, user-space libraries and platform tools. Work spans component tests, user acceptance and full system validation. You will work directly with driver developers, hardware, firmware, ML stack, Kubernetes and cloud management teams. Decisions are made close to the technical detail, with engineers expected to speak up and own outcomes. The team values engineers who think big, act fast and take responsibility. You will mentor others, raise standards and turn hard system problems into lasting improvements. What we're looking for · Deep experience validating Linux kernels, device drivers or similar systems software · Strong C++ and Python test development skills · Experience with CI/CD, build tools and modern automated testing practices · Ability to debug complex issues across hardware, firmware, drivers and upper software layers · Proven ownership of technical work, priorities and delivery in an agile engineering setting · Clear communication skills, including the ability to document and explain complex technical concepts While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore’s success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to prove the reliability of the drivers behind next generation AI compute? Apply now to join Graphcore in Bristol.

Salary Range: PLN 260,000-352,000 Subject to alignment to the responsibilities and duties of the role About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary We are looking for a senior engineer to design and evolve an application-level simulator for ML workloads that directly influences hardware and software architecture decisions. This role sits at the intersection of machine learning, systems, and hardware design. You will model real-world workloads, predict system behaviour, and provide insights that guide how our platform evolves. Success in this role requires not only strong technical depth, but also the ability to work closely with multiple teams to ensure the simulator reflects reality and drives meaningful decisions. The Team The Tenjin team focuses on building advanced simulation capabilities to model and predict the behaviour of large-scale ML workloads on next-generation hardware and software platforms. We operate at the intersection of machine learning, systems, and architecture, developing tools that enable data-driven decisions long before systems are fully built or deployed. Our work helps shape both hardware and software direction by providing early insights into performance, scalability, and efficiency. The team brings together engineers with backgrounds in simulation, ML systems, and computer architecture. We collaborate closely with ML engineers, performance teams, and silicon architects, but operate as an independent group focused on simulation as a core capability. Responsibilities and Duties Design and evolve an ML application-level simulator that models workload execution, system behaviour, and resource usage Translate real-world workloads and benchmarking data into accurate simulation models Validate simulator outputs against real system measurements and continuously improve fidelity Build scalable, maintainable components that support evolving hardware and software capabilities Work closely with performance engineers, ML teams, and silicon architects to ensure the simulator reflects real use cases Drive adoption of the simulator as a decision-making tool across the organisation Candidate Profile Essential: Strong C++ development experience, especially in performance-sensitive or large-scale systems Strong Python skills and familiarity with ML frameworks (e.g. PyTorch) and execution graphs Solid understanding of computer architecture, memory hierarchy, and heterogeneous systems Familiarity with ML accelerator concepts (e.g. tensor cores, compute tiles, high-bandwidth memory) Desirable Understanding of modern ML architectures (e.g. transformers, MoE) in training and inference Experience with simulators or performance models (hardware or distributed systems) Knowledge of parallelism models and their mapping to hardware Experience with profiling and debugging complex, multi-layer systems Benefits In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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.

Salary Range: PLN 260,000 - 352,000 PLN Subject to alignment to the responsibilities and duties of the role About the job Build the simulator that helps engineers understand and optimise collective communication at AI scale. As a Senior Software Engineer in the Collectives Simulator team, you will design and develop a large-scale simulator for new AI hardware. Your work will help engineers analyse network parameters and develop communication algorithms for high bandwidth and low latency. You will lead development across design, implementation, testing and documentation. You will also work with other engineering teams to develop features, troubleshoot complex issues and integrate new hardware with the wider AI ecosystem. The role combines large-scale software engineering with custom hardware and communication systems. You will shape technical direction, mentor junior engineers and help build the software that enables efficient communication at very high scale. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for Extensive professional software development experience using C++ Strong Python and C programming skills Experience developing efficient concurrent applications using multithreading and inter-process communication Strong debugging and problem-solving skills for complex software systems Experience with unit testing frameworks such as Boost.Test or Google Test Proficiency with software build systems such as CMake, Make or Ninja While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits Flexible working: Balance your work and personal life with greater flexibility Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family Phantom equity: Share in Graphcore’s success Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres Financial protection: Death and disability insurance, providing financial security for you and your loved ones Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to work on challenging problems at the intersection of software and AI hardware? Apply now and join Graphcore.

Location: Bristol, UK Salary: £45,000 per annum Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Help build the software that connects Graphcore hardware with the machine learning frameworks researchers and engineers rely on. As a Graduate Software Engineer across our Frameworks team, you’ll develop software connecting Graphcore’s machine learning accelerators with frameworks including PyTorch and Triton. You’ll implement features, optimise performance, resolve defects and create tests and technical documentation. You’ll write and improve tests, investigate issues and help make the software more reliable and faster. You’ll also write clear documentation and take part in code reviews, discussing ideas and learning from feedback. Take ownership of clearly scoped tasks, with support from experienced colleagues as you learn your way around the codebase. Your team and support The Frameworks team works with tools including PyTorch and Triton Its work connects these tools with compilers, which translate code for hardware, and runtime software, which helps it execute. We plan and review work in short cycles using Scrum. You’ll have clear priorities, regular feedback and opportunities to learn from colleagues working across software and hardware. Technical evidence and the needs of our users help guide our decisions. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. How you’ll learn and grow During the two-year programme, you’ll build your understanding of how software and hardware work together to run AI workloads. Hands-on tasks will help you develop your knowledge of compilers and runtime software, alongside your skills in testing, debugging and documentation. Code reviews and technical discussions will give you feedback on your approach and help you learn how other engineers solve problems. As you build confidence in the codebase, you’ll learn how to turn an idea into a software feature, investigate how it behaves and explain your work to colleagues.[ What we’re looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Hands-on experience with Python or C++, with the ability to write clear, maintainable code, tests and documentation Practical experience or a strong academic understanding of compiler development, ML frameworks or a computationally intensive engineering field An interest in AI, machine learning frameworks, high-performance software or computer architecture, with curiosity and openness to learning through feedback and technical discussions You can demonstrate these skills through coursework, a dissertation, personal or team projects, placements, internships, open-source contributions or other relevant experience. Relevant modules and university projects count as evidence of your compiler knowledge. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in our Frameworks team, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.