Graphcore is an AI infrastructure and hardware company.
<p><strong><span data-contrast="none">About Graphcore</span></strong><span data-ccp-props="{}"> </span></p> <p>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.<span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none">Job Summary</span></strong></p> <p class="p1">We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.</p> <p class="p1">The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.</p> <p class="p1">You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.</p> <p class="p1"><strong><br>You might find yourself:</strong></p> <ul> <li class="p1">Expanding measurement coverage from small clusters to full racks</li> <li class="p1">Designing workloads that expose system behaviour</li> <li class="p1">Building systems to run experiments across large clusters</li> <li class="p1">Interpreting results and defining what “good enough” looks like</li> </ul> <p class="p1">This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.</p> <p class="p1">We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.</p> <p class="p1"><strong><br>Selection criteria:</strong></p> <p class="p1">Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.</p> <p class="p1"><strong><br>Essential</strong></p> <ul> <li class="p1">Strong software engineering experience, typically gained across multiple projects or systems over several years</li> <li class="p1">Experience working in<span class="Apple-converted-space"> </span><strong>Linux-based environments</strong>, ideally with distributed or high-performance systems</li> <li class="p1">Proficiency in<span class="Apple-converted-space"> </span><strong>Python</strong></li> <li class="p1">Experience with<span class="Apple-converted-space"> </span><strong>automation and CI/CD systems</strong><span class="Apple-converted-space"> </span>(e.g. GitLab CI, Jenkins, GitHub Actions)</li> <li class="p1">Ability to design, implement, and run experiments or tests that produce meaningful results</li> <li class="p1">Ability to<span class="Apple-converted-space"> </span><strong>interpret results and communicate findings clearly</strong>, with an emphasis on accuracy and usefulness to decision-making</li> <li class="p1">Comfortable working in areas where requirements are not fully defined and judgement is required</li> </ul> <p class="p1"><strong>Desirable</strong></p> <ul> <li class="p1">Experience working with<span class="Apple-converted-space"> </span><strong>large-scale or distributed systems</strong><span class="Apple-converted-space"> </span>(e.g. clusters, cloud platforms, HPC environments)</li> <li class="p1">Experience with performance, reliability, or systems-level testing/measurement</li> <li class="p1">Familiarity with<span class="Apple-converted-space"> </span><strong>pytest or similar frameworks</strong><span class="Apple-converted-space"> </span>for structured test/measurement execution</li> <li class="p1">Experience analysing<span class="Apple-converted-space"> </span><strong>system behaviour under load</strong><span class="Apple-converted-space"> </span>(compute, network, or ML workloads)</li> <li class="p1">Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)</li> <li class="p1">Proficiency in other applications programming languages (e.g. C++)</li> <li class="p1">Exposure to data analysis, statistics, or interpreting variability in results<span data-contrast="none"><span data-ccp-charstyle="normaltextrun"><br></span></span></li> </ul> <p><span data-contrast="none"><span data-ccp-charstyle="normaltextrun"><strong>Benefits</strong><br></span></span></p> <p>In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differ