Careers at Graphcore Early Careers

Location: Bristol, UK Duration: 12 weeks Salary : £2500 per month Start date: June 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you’ll work on Put your programming skills to work exploring how firmware brings AI hardware to life, from first boot to system monitoring. As a Firmware Engineering Intern, you’ll contribute to firmware for Graphcore’s next-generation products. Working closely to with our silicon and hardware teams, you’ll contribute to software that supports hardware bootup and provides telemetry and monitoring data that helps data centre operators understand what the hardware is doing. Your tasks could include writing code, develop unit tests and investigate behaviour on hardware using logs, oscilloscopes and logic analysers. You’ll contribute to a shared codebase and see how software decisions affect physical systems. Your team and support The Firmware team sits within System Software and works with teams across Graphcore and our partners. You’ll report to the Firmware Manager and work alongside engineers connecting silicon, hardware and software. Technical discussions, code reviews and Agile working practices will help you understand design decisions and how the team coordinates its work. You can ask for help as you learn the codebase, explain your thinking and use feedback to improve your work. Decisions are shaped by technical discussion and investigation. As an intern, you’ll be encouraged to ask questions, raise issues early and share what you learn, with support from experienced engineers as you try out different approaches. How you’ll learn and grow Over the 12 weeks, you’ll build practical experience in firmware development, unit testing and debugging through the work your tasks focus on. Investigating issues on real hardware will help you connect software behaviour with physical signals and develop a methodical approach to finding problems. Code reviews will introduce you to shared development and coding standards and help you build confidence contributing to a team codebase, giving you a clearer view of a career in embedded software. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you’ve graduated. What we’re looking for Currently studying towards a bachelor’s or master’s degree or PhD in Computer Science, Electronic Engineering, Maths or a related field. Equivalent experience is also welcome Introductory programming experience in C or Python, with some understanding of continuous integration, build systems and software packaging best practices A practical, methodical approach to problem solving, with the ability to organise your work and follow tasks through to completion Clear written and verbal communication, including the ability to document complex system designs coherently Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects, research or other relevant experience, how you approached it and what you learned. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O’Reilly, our online learning platform 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. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You’ll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you’ll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. 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. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next.

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 Put your technical foundations to work on the cloud platforms that help demanding AI workloads run at scale. As a Graduate Cloud Platform Engineer, you’ll help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible. You’ll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It’s a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible. How you’ll learn and grow During the two-year programme, you’ll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code. Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You’ll learn to use logs and metrics to test your thinking and explain what you find. Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills. What we’re looking for A bachelor’s degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash Familiarity with Git or another version-control system, with a clear approach to documentation and code review A methodical approach to troubleshooting and the ability to communicate your findings and work with others You’ll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability. You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. 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 Cloud Platform Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

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 Put your programming skills to work on the firmware that helps Graphcore products start up, communicate and run reliably. As a Graduate Firmware Engineer, you’ll help design, develop and deliver firmware for Graphcore’s next generation products. Working closely with our silicon and hardware teams, you’ll contribute to software that supports hardware bootup, power control, telemetry and monitoring. You’ll write firmware to Graphcore standards, review code, contribute to technical discussions and help investigate issues. You’ll also work with continuous integration, build systems and Agile practices. Your team and support The Firmware team develops the software that powers Graphcore hardware and silicon. We are involved in the design of hardware and software interfaces. You’ll work with engineers across teams through technical design discussions, code reviews, Agile ceremonies, and practical problem solving. Technical evidence and open discussion guide our decisions, with shared responsibility for product quality. 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. From day one you’ll contribute your ideas and help colleagues investigate firmware issues. How you’ll learn and grow During the two-year programme, you’ll build your understanding of how embedded software enables complex hardware systems through hands-on firmware development. Work on bootup, power management protocols, telemetry and monitoring, writing the code that manages how our hardware behaves. Investigating issues will build your problem-solving skills, while continuous integration and build systems will show you how firmware is checked and prepared for delivery. Code reviews and technical discussions with engineers across teams will help you develop your engineering judgement, explain your approach and learn how firmware fits into the wider system. What we're looking for Bachelor’s/Master’s degree in Computer Science, Electronic Engineering, Maths or a related field Introductory experience with C or Python An understanding of continuous integration, build systems and software packaging best practices An interest in real-time embedded software, verification or complex embedded platforms Curiosity about server architecture, device drivers, operating system kernel development or server firmware security Bring a willingness to learn, ask questions and contribute to technical discussions with colleagues across teams 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. 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 Firmware Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

Location: Bristol, UK Salary: £45,000 per annum Start date: September 2027 Applications 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 engineering foundations to work on the electronic systems behind Graphcore’s AI compute platforms. This role spans Hardware Design and Signal Integrity. Depending on your interests, project needs and developing strengths, you could focus on either area or work across both. You’ll build broad board-level engineering skills while developing deeper expertise. In Hardware Design, you could develop circuits, select components, create schematics and work with PCB layout through review, bring-up and validation. Projects may involve digital and analogue circuitry, power sequencing, monitoring, board management or interfaces such as I2C, SPI and GPIO. As you grow, you’ll take ownership of scoped circuits or subsystems through to controlled design release. In Signal Integrity, you could analyse PCIe and Ethernet links, DDR memory interfaces, clocks and other timing-critical signals. Work may span feasibility studies, PCB stack-up, materials, controlled impedance, routing and layout reviews, alongside pre-layout and post-layout simulation. You’ll compare simulations with laboratory measurements, investigate issues and take increasing ownership of defined analyses and interface reviews. Your team and support Hardware Design and Signal Integrity engineers work closely with PCB layout, silicon, validation, firmware, mechanical and thermal engineering, manufacturing and system teams. Together, they turn requirements into buildable hardware and investigate how it behaves in practice. Staff Hardware Engineers and Team Leads will support you through design reviews, laboratory work and day-to-day collaboration. You’ll learn how the team identifies risks before boards are built and resolves issues during development. Bring your questions and ideas, explain your reasoning and use evidence to challenge assumptions constructively. 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 develop the judgement to connect circuit design and interconnect behaviour with the performance of a complete board. You’ll gain experience with tools such as Mentor Expedition for hardware design, and Ansys HFSS and Keysight ADS for electromagnetic and circuit simulation. Comparing models with measurements will help you test hypotheses, understand trade-offs and investigate faults methodically. Following work through review, implementation, validation and release will help you build confidence in your decisions, document your reasoning and see where you’d like to deepen your expertise. What we're looking for A recently completed degree, or one you’re due to complete, in Electronic Engineering, Electrical and Electronic Engineering, Computer Engineering, Physics or a closely related technical discipline Strong analogue and digital electronics foundations, with an interest in hardware design or signal integrity and how complete systems and interconnects behave A logical, first-principles approach to unfamiliar problems and structured debugging, demonstrated through practical engineering work The ability to use measurements or technical data to test a hypothesis and explain your conclusions, with clear communication, curiosity and willingness to take ownership and learn from feedback You can demonstrate these skills through a final-year project, laboratory work, placements, internships, personal or team projects, Formula Student, robotics, engineering societies or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Your interests might include schematics, PCBs, component selection, bring-up, validation, test or fault finding; or transmission lines, impedance, reflections, crosstalk, simulation and electronic measurement. Previous professional experience with the named tools is not required. 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 Hardware E ngineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

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 Turn the models you’ve studied into AI systems that run at scale. In Applied AI, you’ll help implement, train and optimise advanced models on Graphcore’s next generation hardware, connecting research ideas with systems running across thousands of accelerators. You’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems. Working with Research, Software and Product teams, you’ll test ideas that could inform future hardware. Your experiments will help us understand what makes a model accurate, efficient and ready to scale. Your team and support The Applied AI team acts as a proxy for Graphcore’s customers. We understand current AI models, applications and software, then make sure Graphcore technology works at scale. You’ll work alongside people who write low-level kernels, train large language models and enjoy figuring out challenging AI problems together. Work spans low-level kernel optimisation through to implementing research-level algorithms for new AI models. Engineers move between experiments, profiling, code reviews and technical debate – giving you a view of how different parts of an AI system fit together. Decisions are driven by evidence, performance data and clear engineering judgement. 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 technical range through hands-on work across AI models and accelerator systems. With visibility across the full stack – from novel accelerator hardware and its software stack to state-of-the-art AI applications – you’ll identify opportunities to innovate and differentiate Graphcore’s technology. What we’re looking for Bachelor/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field Software development skills and proficiency with a deep learning framework such as PyTorch or JAX An understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments A collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility 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. 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 Machine Learning Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next .

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 Put your C++ skills to work modelling future AI accelerators before they exist and help shape how Graphcore engineers design them. As a Graduate Software Engineer in Accelerator Modelling, you’ll develop, test and refine models and simulations for the next-generation AI accelerators. Your work will help predict performance, power consumption and scalability, giving engineers evidence to compare approaches before hardware decisions are made. You’ll investigate how complex workloads behave, contribute to planning, design, implementation and testing, and help other teams integrate future hardware versions. You’ll also help scale distributed modelling environments. It’s a chance to see how software models connect architectural ideas with future hardware. Your team and Support The Accelerator Modelling Team works across architecture, hardware and software. You'll be working in a small team, team lead and all senior members would support you with every step on your way. Modelling team faces a lot of the unknowns and challenging problems at the cutting edge of AI technology. There’s a buddy system in place, so you will always have a point of contact , ready to answer all questions or help with anything. Decisions are driven by evidence from the models and clear engineering judgement. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. How you’ll learn and grow During the two-year programme, you’ll build practical experience in C++ development, hardware simulation and performance modelling, building skills close to architecture, software and hardware design. Developing and debugging modelling code will help you understand how complex workloads behave and how to test whether a model captures that behaviour. Reviews and feedback will help you develop your engineering judgement and explain the trade-offs you find. Working with architects, engineers and machine learning researchers will show you how modelling results inform hardware decisions and how your work connects to the wider computing system. What we're looking f or Bachelor’s/ Master’s degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field Strong C++ programming skills, gained through study, projects, personal coding or practical experience An understanding of computer science fundamentals and an interest in lower-level software The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices C uriosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback 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. 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 Accelerator Modelling, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next .

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 Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware. In AI Compute Libraries & Performance, you’ll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include: Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations. Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance. Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use. Through these projects, you’ll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable. Your team and support You’ll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems. You’ll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions. Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning. We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully. How you’ll learn and grow During the two-year programme, you’ll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests. Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes. Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Experience with C++11 Familiarity with Python or scripting tools for automation and testing Understanding of linear algebra, numerical methods or scientific computing, with problem-solving skills and collaborative approach to unfamiliar technical challenges 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. Coursework or experience in machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis 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 Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help make AI compute more efficient.

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 Put your software skills to work testing how AI and machine learning workloads run on Graphcore accelerator hardware. As a Graduate Software Engineer in AI/ML Test Systems, you’ll create representative machine learning workloads and analyse their numerical accuracy and performance. You’ll design tests and help improve testing strategies and infrastructure across simulated and physical hardware. You’ll also build continuous integration and continuous delivery (CI/CD) pipelines, investigate difficult problems and turn your findings into measurable improvements. Your work will connect machine learning frameworks and models with the hardware beneath them, helping improve software quality and customer experience. Your team and support The Software QA team combines software engineering, automation and data analysis to improve product quality and customer experience. We work extensively with industry-standard machine learning frameworks and models, including contributions to upstream open-source projects. Our team works in small squads, each with ownership of a particular area of software quality. As a graduate, you’ll have the opportunity to explore the breadth of our work, gain practical experience across different areas and discover what interests you before settling into a squad. You’ll work alongside engineers who investigate problems, share findings and collaborate closely with development teams to improve quality, security and maintainability. Test results, performance data and the needs of the wider software organisation guide our decisions. You’ll have a buddy to help you find your feet and a manager who will support your development, explore your career goals with you and help make time for learning. You’ll be encouraged to ask questions, challenge existing approaches and take initiative, with experienced colleagues to turn to for guidance as you build confidence and take ownership of your work. How you’ll learn and grow During the two-year programme, you’ll build practical experience across machine learning, testing, automation and performance analysis. Creating workloads and analysing results will help you understand how software behaves on accelerator hardware. Debugging issues will develop your problem-solving skills and help you connect numerical accuracy and performance to the systems running a model. Work on test infrastructure and CI/CD will show you how automated checks support software development across simulated and physical platforms. Sharing findings with development teams will help you explain technical problems clearly and turn evidence into improvements. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Strong Python skills and proficiency in C++ Experience working with Linux operating systems and the ability to learn new technologies quickly Exposure to machine learning frameworks such as PyTorch, JAX, Triton or TensorFlow, test automation, CI/CD, data analytics, hardware architectures or compilers would be useful. Experience with distributed workload management systems or machine learning operations (MLOps) pipelines would also 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 Software Engineer role in AI/ML Test Systems, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

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 Put your coding skills to work on tools that help developers understand and improve how software runs on Graphcore hardware. As a Graduate Software Engineer in the Analysis Tools Team, you’ll design, develop and test features across libraries, command-line tools and graphical applications. Your work will help users see where time, memory and hardware resources are being used, so they can optimise applications and resolve issues. You’ll fix bugs and support end-users with guidance on using the tools. It’s a chance to connect software development with the hardware beneath it and see how useful profiling information helps developers get more from Graphcore systems. Your team and support The Analysis Tools Team works close to Graphcore’s hardware and software stack. It collects profiling information, processes it and turns it into insight that developers can use. You’ll learn from experienced engineers through practical engineering, regular code reviews and open technical discussions. You’ll be supported to test ideas and build confidence as you develop features and solve problems. Decisions are driven by profiling data, customer needs and team experience. 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 practical experience in software development, testing and performance profiling, working across libraries, command-line tools and graphical applications. Hands-on debugging and code reviews will help you develop your engineering judgement: how to investigate a problem, test an approach and use feedback to improve your work. Working on tools used by developers and supporting customers will help you understand their needs, explain technical findings clearly and see how your work connects to the wider hardware and software system. What we're looking for Programming experience in one or more languages – preferably Rust, TypeScript - gained through study, projects, internships, placements or practical work A logical approach to debugging, testing and solving unfamiliar problems Exposure to CI/CD pipelines, build tools, version control or collaborative software development practices Clear communication and a willingness to learn through feedback, ask questions and share ideas Bring an interest in TypeScript, React, Rust, C++ or other technologies used by the team, and curiosity about performance profiling, relational databases, memory management, multithreading or hardware utilisation. You don’t need experience with every technology we use. You can demonstrate these skills through coursework, a dissertation, personal or team projects, internships, placements or other relevant experience. 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 in Analysis Tools role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

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 Put your coding skills to work on the infrastructure that helps Graphcore engineers turn code into reliable software releases. As a Graduate Software Engineer in DevOps, you’ll help develop and maintain tools for software builds and releases. You’ll deploy services using Kubernetes and Docker, and support cloud infrastructure managed through tools such as Terraform. Working closely with teams developing Graphcore’s machine learning software stack, you’ll help automate repetitive tasks and improve the workflows engineers use every day. You’ll join the Software Infrastructure team, building tools that help Graphcore engineers develop, test and release software for their state-of-the-art AI accelerators. An engineering buddy will help you settle in, with senior engineers, tech leads and your manager supporting you as you grow. In your first three months, you’ll work with fellow graduates on a project developing new capability that goes into production. It’ll be something you can point to and say, “We built that”, and continue to own, develop, and maintain long-term. Previous graduates have rolled out ArgoCD to manage the lifecycle of our entire kubernetes estate and Coder to provide development environments for engineers. Coder remains our second highest volume service to this day. Bring your questions and ideas. 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 practical experience in continuous integration and deployment, cloud infrastructure, containerisation, build engineering and release systems, and machine learning operations. You’ll see how software moves from development to release and learn what it takes to make that possible at scale. You’ll develop the judgement to understand what people need, weigh up different approaches and build solutions they can depend on. Your manager understands the potential graduates bring and will help you build on your foundations, developing the skills and confidence to take on more complex engineering challenges. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Knowledge of Python, Go, C++ or a similar programming language. Experience developing or managing systems in Linux environments An understanding of continuous integration and continuous delivery (CI/CD), with the communication skills to explain your work and collaborate with others 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. Exposure or experience in Kubernetes, OpenStack, infrastructure as code tools such as Terraform or OpenTofu, GitHub Actions, build tools, high-performance computing (HPC), Grafana or cloud services such as AWS 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 DevOps role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.