Senior Quality Assurance Engineer - Workload Management

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.

Essential:

• Strong programming experience in Python.
• Hands-on experience with Robot Framework or similar automation frameworks.
• Experience testing cloud-native systems and containerised environments.
• Strong understanding of Linux systems.
• Experience with CI/CD systems such as GitLab CI or GitHub Actions.
• Experience testing distributed systems.
• Ability to debug complex issues across multiple system layers (Kubernetes, infrastructure, applications).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Desirable:

• Experience validating Kubernetes integrations.
• Understanding of AI training and inference workloads and their orchestration requirements.

• Design, develop, and maintain automated test suites for Kubernetes integration components.
• Develop end-to-end, integration, and system tests to validate scheduling and resource allocation within Kubernetes clusters.
• Identify, document, and track defects, working closely with engineering teams to investigate root causes and validate fixes.
• Contribute to design of CI/CD pipelines.
• Validate scalability, performance, and reliability of workload orchestration.
• Improve test coverage, test stability, and observability across distributed system components.
• Collaborate with development teams to define quality standards, test strategies, and validation plans early in the development lifecycle.
• Contribute to the evolution of QA automation frameworks, tooling, and testing practices across the organization.
• Mentor and support other QA engineers, providing guidance on automation, debugging, and testing best practices.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment. We offer an equal opportunity process and can provide a flexible approach to interview and reasonable adjustments if required.