Validate the ML stack that turns accelerator hardware into trusted AI performance.
This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.
Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.
You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.
This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
The team and cultureThe ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.
Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.
You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
What we’re looking for· Strong experience in Machine Learning or ML-adjacent software engineering roles.
· A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
· Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
· Strong Python skills for automation, experimentation, benchmarking and reporting.
· Experience designing, running and analysing ML benchmarks or model experiments.
· Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
· Unlimited annual leave
· Up to 5% matched pension
· Phantom equity – share in Graphcore’s success
· True flexibility in how and where you work
· Office spaces designed for collaboration
· Free food and an on-site barista
· Health cash plan
· Income protection
· Life assurance
· Along with other benefits you can choose from (private medical insurance, dental plan etc)
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 GraphcoreGraphcore 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 validate the systems behind next generation AI compute, we’d love to hear from you. Apply now to help build what comes next.
Skills Required
- Strong experience in Machine Learning or ML-adjacent software engineering roles.
- Solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
- Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
- Strong Python skills for automation, experimentation, benchmarking and reporting.
- Experience designing, running and analysing ML benchmarks or model experiments.
- Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
What the Team is Saying
Graphcore Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage includes medical and dental insurance, with US plans through Cigna and Kaiser, HDHP options with employer‑funded HSA contributions, a health cash plan, EAP access, and dedicated mental‑health support. These provisions extend to family options in some regions, reinforcing broad medical and wellbeing support.
-
Retirement Support — Retirement programs include a UK pension match up to 5% and a US 401(k) with a 100% company match up to 6% (with a true‑up). This pairing signals strong, predictable long‑term savings support across key locations.
-
Leave & Time Off Breadth — Time‑off policies feature “unlimited” holiday in the UK and flexible, generous PTO with paid US holidays. Paid family leave for birthing parents and bonding further broadens time‑away support.
Graphcore Insights
What We Do
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.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
Gallery
Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
