Senior Software Engineer (ML Quality Assurance)

Graphcore; West of England; Hybrid; GBP 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible working

Private medical insurance

Pension

Income protection

Learning & development

Wellbeing

Zusammenfassung

Graphcore is seeking a QA engineer to build and validate its ML software stack, spanning from frameworks to AI accelerators. You will design production-quality test infrastructure that engineers can extend and rely on as Graphcore’s ML software grows.

You will architect scalable test frameworks and CI/CD pipelines that run across simulators, emulators and physical hardware, creating representative ML workloads and analyzing their execution to drive practical improvements to testing and tooling.

Qualifikationen

• Strong Python skills in production-quality software.
• Familiarity with C or C++ and low-level debugging.
• Experience building CI/CD pipelines in Linux.
• Ability to mentor junior engineers.
• Software architecture skills for large codebases.

Aufgaben

• Build software that validates Graphcore’s ML stack from frameworks to hardware.
• Design production-quality test infrastructure for engineers.
• Architect scalable test frameworks and CI/CD pipelines across simulators and hardware.
• Create representative ML workloads and analyze execution for improvements.
• Shape software architecture and developer experience beyond adding tests.
• Mentor junior engineers to raise technical standards.
• Work across software teams to strengthen quality, security and maintainability.
• Use workload results to guide technical decisions on how Graphcore tests its ML stack.

Kenntnisse

Python

C/C++

CI/CD

Linux

Software architecture

Mentoring

Jobbeschreibung

• Build the software that validates Graphcore’s machine learning stack, from frameworks to AI accelerator hardware
• You’ll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore’s ML software grows
• Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack
• You’ll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware
• You’ll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling
• This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems
• You’ll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour
• Graphcore’s ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects
• You’ll work across software teams, using code and design reviews to strengthen quality, security and maintainability
• You’ll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack
• You’ll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team’s technical standards

Benefits

• 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 at Graphcore. Our 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

A self-directed approach to solving complex problems, identifying gaps and driving improvementsStrong Python skills, demonstrated through designing, developing and maintaining production-quality softwareFamiliarity with C or C++, including the ability to read, debug and reason about low-level codeExperience building CI/CD pipelines and automated testing systems in Linux environmentsThe ability to mentor junior engineers and influence engineering practices through constructive feedbackSoftware design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability