Senior Software Engineer; ML Quality Assurance

• Help prove the ML software stack that future AI systems will depend on
• Graphcore is expanding the software systems behind AI compute at datacenter scale
• This role focuses on validating a complex machine learning stack before it reaches customers and hardware. You will build the test infrastructure, automation and tooling that engineers trust every day
• Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware
• You will shape test architecture across large codebases, CI pipelines and representative ML workloads
• You will use strong software engineering judgement to turn complex technical goals into scalable validation systems
• This is a role for someone who enjoys depth, ownership and useful engineering
• You will make quality easier, faster and more visible for teams building at the edge of AI compute
• The ML QA team sits where Graphcore’s software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking
• Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns
• Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly

• Work-Life Balance:
  We believe you should have a good work-life balance. Everyone’s situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
• Healthcare:
  We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
• Pension:
  We believe that our employees deserve the best when it comes to planning for their future
• Income Protection:
  Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
• Progression:
  We prioritise learning and development as an integral part of our culture  Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
• Wellbeing:
  We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing

Understanding of ML frameworks, workloads or model execution beyond simple API usage

Familiarity with C or C++, with confidence reading and debugging low level code Ability to mentor engineers, improve practices and take ownership of complex technical problems

Strong software design skills, with experience building maintainable systems across large codebases

Experience with CI/CD, automated testing and Linux based development workflows

Production Python experience, including testable, reliable code used by other engineers