Staff QA Engineer - Workload Management

Graphcore is a company building the future of AI compute, specializing in semiconductor, software, and AI expertise to create a complete AI compute stack from silicon to datacenter-scale infrastructure. It is part of the SoftBank Group and is expanding its teams globally to address AI opportunities.

• 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.

Nice to have:

• 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.