Join Graphcore as a Staff QA Engineer to build quality foundations for Kubernetes systems powering next-generation AI compute.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff QA Engineer at Graphcore, the individual will focus on validating the workload management stack for AI accelerator hardware, ensuring robust Kubernetes integrations. Key skills include strong Python programming, experience with automation frameworks like Robot Framework, and a solid understanding of cloud-native systems. This position is ideal for someone with a senior background in QA engineering who is eager to enhance engineering quality within a technically sophisticated environment. The team emphasizes early quality assurance and collaborative technical discussions.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Graphcore's career page.
- Graphcore has 196 other open roles including Senior Workplace Coordinator - Bengaluru, Technical Programme Manager , Manufacturing Operational Excellence Manager.
- 6517 active Python roles on Joblaze right now.
- 2566 active Kubernetes roles on Joblaze right now.
- 990 active Linux roles on Joblaze right now.
- Pays more than 6% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Staff QA Engineer - Workload Management role remote?
- It's hybrid — Graphcore expects some on-site time in Gdańsk, Pomeranian Voivodeship, Poland.
- What's the salary range?
- Graphcore lists PLN 350,700–PLN 474,400 for this role.
- Where is the role based?
- Graphcore is hiring for this position in Gdańsk, Pomeranian Voivodeship, Poland.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CI/CD, GitHub Actions, GitLab CI, Kubernetes, Linux, Python.
- What seniority level is this role?
- Graphcore targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff QA Engineer - Workload Management role at Graphcore.
From the original posting
Salary Range: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role.
Location: Gdańsk - Hybrid Working Policy - 2-3 Days per week in office
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.