Staff QA Engineer - Workload Management
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Mar 23, 2026. Graphcore scores A on the Alion truth index.
Senior: PLN 260,400 - 352,200
Staff PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level.
About the job
Build the quality foundations for Kubernetes systems that power next-generation AI compute.
As a Staff QA Engineer, you will validate the workload management stack for new AI accelerator hardware. You will help ensure our Kubernetes integrations are robust, scalable and ready for production.
Your work will shape how accelerators are scheduled, orchestrated and used across distributed environments. You will test the systems that make complex AI compute infrastructure reliable for real users.
You will design automated test suites, build system and integration tests, and improve CI/CD quality practices. You will also debug issues across Kubernetes, infrastructure and applications.
This role is for someone who wants to raise engineering quality across a deeply technical platform.
The team and culture
You will join the Workload Management team, working closely with software engineers and infrastructure specialists. The work is hands-on, systems-focused and driven by clear technical ownership.
Quality is built early here, not checked at the end. You will influence test strategy, validation plans and automation practices across the development lifecycle.
The team moves through open technical discussion and evidence-based decisions. You will mentor others, speak up on risk and help turn complex systems into dependable products.
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 understanding and confidence debugging across multiple system layers
- Experience with CI/CD systems such as GitLab CI or GitHub Actions
- Ability to define quality standards, improve test coverage and mentor other QA engineers
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 (EAP): 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’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 Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.
Join the Team at Graphcore
Graphcore 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, Graphcore 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.
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.