About the role
<p><strong>Location:</strong> Bristol, UK <br><strong>Start date: </strong>September 2027<br><strong>Application deadline</strong>: Midnight, 29th November 2026 <br><em>We encourage you to apply early, as we may close applications before the advertised deadline.</em></p>
<h3>The Graduate Programme at Graphcore</h3>
<p>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.</p>
<p><iframe style="display: table; margin-left: auto; margin-right: auto;" src="https://www.youtube.com/embed/sUqy-WuXPsE" width="560" height="314"></iframe></p>
<h3>What you’ll work on</h3>
<p><span data-contrast="none">Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">In AI Compute Libraries & Performance, you’ll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include:</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<ul>
<li><strong><span data-contrast="none">Developing compute kernels:</span></strong><span data-contrast="none"> Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
<li><strong><span data-contrast="none">Understanding and improving performance:</span></strong><span data-contrast="none"> Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
<li><strong><span data-contrast="none">Checking correctness and reliability:</span></strong><span data-contrast="none"> Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
</ul>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<h3><span data-contrast="none">Your team and support</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<h3><span data-contrast="auto">How you’ll learn and grow</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<p><span data-contrast="auto">During the two-year programme, you’ll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<h3><span data-contrast="none">What we're looking for</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<ul>
<li><span data-contrast="none">Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Experience with C++11</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Familiarity with Python or scripting tools for automation and testing</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Understanding of linear algebra, numerical methods or scientific computing, with problem-solving skills and collaborative approach to unfamiliar technical challenges</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
</ul>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span></p>
<h3>Benefits</h3>
<ul>
<li>Flexible working: Balance your work and personal life with greater flexibility</li>
<li>Retirement planning support: Up to 5% matched pension</li>
<li>Phantom equity: Share in Graphcore’s success</li>
<li>Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day</li>
<li>Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones</li>
<li>Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice</li>
<li>Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover</li>
<li>Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn</li>
</ul>
<p>We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.<br><br>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 yo
<h3>The Graduate Programme at Graphcore</h3>
<p>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.</p>
<p><iframe style="display: table; margin-left: auto; margin-right: auto;" src="https://www.youtube.com/embed/sUqy-WuXPsE" width="560" height="314"></iframe></p>
<h3>What you’ll work on</h3>
<p><span data-contrast="none">Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">In AI Compute Libraries & Performance, you’ll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include:</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<ul>
<li><strong><span data-contrast="none">Developing compute kernels:</span></strong><span data-contrast="none"> Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
<li><strong><span data-contrast="none">Understanding and improving performance:</span></strong><span data-contrast="none"> Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
<li><strong><span data-contrast="none">Checking correctness and reliability:</span></strong><span data-contrast="none"> Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></li>
</ul>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<h3><span data-contrast="none">Your team and support</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559738":240,"335559739":240,"335559740":240}"> </span></p>
<h3><span data-contrast="auto">How you’ll learn and grow</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<p><span data-contrast="auto">During the two-year programme, you’ll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="auto">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<h3><span data-contrast="none">What we're looking for</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></h3>
<ul>
<li><span data-contrast="none">Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Experience with C++11</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Familiarity with Python or scripting tools for automation and testing</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
<li><span data-contrast="none">Understanding of linear algebra, numerical methods or scientific computing, with problem-solving skills and collaborative approach to unfamiliar technical challenges</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></li>
</ul>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p>
<p><span data-contrast="none">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.</span></p>
<h3>Benefits</h3>
<ul>
<li>Flexible working: Balance your work and personal life with greater flexibility</li>
<li>Retirement planning support: Up to 5% matched pension</li>
<li>Phantom equity: Share in Graphcore’s success</li>
<li>Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day</li>
<li>Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones</li>
<li>Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice</li>
<li>Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover</li>
<li>Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn</li>
</ul>
<p>We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.<br><br>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 yo
Requirements
- Core