Senior QA Engineer

Senior: PLN 260,400 - 352,200

Subject to alignment to the responsibilities and duties of the role

About the job

Build quality foundations for Kubernetes systems that power next-generation AI compute.

As a Senior QA Engineer, you will validate the workload management stack for new AI accelerator hardware. You will help ensure that Kubernetes integrations are reliable, scalable and ready for production use.

Your work will support how accelerators are scheduled, orchestrated and used across distributed environments. You will test systems that make complex AI compute infrastructure dependable for real users.

You will design and develop automated test suites, build system and integration tests, and contribute to improving CI/CD quality practices. You will also investigate and debug issues across Kubernetes, infrastructure and application layers.

This role is for someone who enjoys hands-on technical testing, automation and working close to complex distributed systems. This is a hybrid position, with at least three days each week in our Gdańsk office.

The team and culture

You will join the Workload Management team, working closely with software engineers, infrastructure specialists and other QA engineers. The work is practical, systems-focused and based on strong technical ownership.

Quality is built early here, not checked only at the end. You will contribute to test strategy, validation planning and automation practices throughout the development lifecycle.

The team works through open technical discussion and evidence-based decisions. You will be encouraged to speak up on quality risks, improve test coverage and help turn complex systems into reliable products.

As a senior member of the QA team, you will also support less experienced engineers through technical guidance, code reviews and sharing good testing practices.

What we’re looking for

• Strong Python programming experience, with a focus on automation and test engineering
• Hands-on experience with Robot Framework or similar automation frameworks
• Experience testing cloud-native, containerised or distributed systems
• Strong Linux and Kubernetes understanding, with confidence debugging across multiple system layers
• Experience with CI/CD systems such as GitLab CI or GitHub Actions
• Ability to improve test coverage, raise quality standards and support other QA engineers

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
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore’s success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme: Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We are 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 Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

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

If you want to make next-generation AI compute more reliable at scale, we’d love to hear from you. Apply now to help build the future of AI compute.