Graphcore
AI Compute
SeniorSoftwareEngineer(MLQA)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer (ML QA) at Graphcore. Skills: ML software stack, test infrastructure, automation, CI/CD. Design test infrastructure. Implement test automation”
What You'll Achieve.
ensure reliability; ensure performance; ensure maintainability; deliver robust products; deliver high-quality products
Industry & Context.
problem-solving skills
right to work in the UK
What They're Looking For.
Must Have
production-quality software engineering roles, software design and architecture skills, experience working on large or complex systems, Python, building and maintaining production codebases, CI/CD systems, automated testing, GitHub-based workflows, Linux environments, C or C++, read, debug, and reason about low-level code, mentor junior engineers, influence engineering practices, problem-solving skills, proactive, self-directed approach to work, Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field, right to work in the UK
Nice to Have
PyTorch, JAX, Triton, TensorFlow, distributed workload management systems, Kubernetes, VLLM, Keras, MLOps pipelines, hardware simulators or emulators, QEMU, FPGA-based systems, people management, mentoring
What You'll Do.
Design test infrastructure
Implement test automation
Maintain test infrastructure
Architect test frameworks
Build CI/CD pipelines
Gain insights from execution
Mentor junior engineers
Support junior engineers
Evaluate test strategies
How You'll Work.
Team & Collaboration
Work closely with all Software development teams; Collaborate across the wider software organization
Full Job Description
About Graphcore 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 Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stac
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