Senior Software Engineer (ML QA)

Graphcore; Town of Cambridge; On-site; AUD 115,000 - 173,000; Full time

Job summary

Graphcore seeks a Software QA Engineer to build production-grade test infrastructure for the company’s ML stack, spanning frameworks to AI accelerator hardware. You’ll design scalable test frameworks and CI/CD pipelines that run across simulators, emulators and physical hardware, creating representative ML workloads and turning results into improvements.

This role offers scope to shape software architecture and developer experience, while mentoring junior engineers and contributing to quality,

Qualifications

• Strong Python skills demonstrated through production-quality software.
• Design for testability and long-term maintainability of large codebases.
• Experience building CI/CD pipelines and automated testing systems in Linux.
• Familiarity with C or C++ for reading and debugging low-level code.
• Ability to mentor junior engineers and influence engineering practices.
• Self-directed approach to solving complex problems and driving improvements.

Responsibilities

• Build production-quality test infrastructure for ML software stack.
• Design scalable test frameworks used across frameworks, simulators and hardware.
• Architect CI/CD pipelines and testing workflows for reliability.
• Create representative ML workloads and analyze results to drive improvements.
• Mentor junior engineers and contribute to developer experience.

Skills

Python

Software architecture

CI/CD pipelines

C/C++ familiarity

Mentoring

Self-directed problem solving

Job description

About the job

Build the software that validates the company’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 the company’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.

The team and culture

the company’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 the company tests its ML stack. You’ll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team’s technical standards.

What we’re looking for

• Strong Python skills, demonstrated through designing, developing and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps and driving improvements.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in the company’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

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.

Sponsorship

Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Join the Team at the company

the company 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, the company 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.

the company’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, the company brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.