Senior Systems Engineer - Commissioning and Characterisation

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

Location: Gdańsk - Hybrid Working Policy - 2-3 Days per week in office

Explore how a next-generation AI architecture behaves from rack scale to data centre scale. 

As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will turn complex system behaviour into measurable evidence.

You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn uncertainty into new measurements.

Your work will help infrastructure engineers, architects and application specialists understand performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics.

You do not need to be an AI expert. You will need strong judgement, a clear preference for evidence over opinion and a desire to explore complex systems beyond the obvious.

The System QA team is distributed across multiple locations so we work deliberately to stay connected. Daily team meetings create space to share ideas, ask questions, discuss findings and solve problems together.

You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other.

Decisions are guided by evidence, clear communication and a willingness to challenge assumptions. Your manager will trust you to follow the evidence wherever it leads, with a supportive team behind you.

We value trust, autonomy and openness. We measure and report what we observe without trying to make results look better or worse than they are.

• Comfortable using Python to write tests, automate tasks, analyse data or develop practical engineering tools.
• Strong analytical and problem-solving skills.
• A curiosity-driven approach to investigating complex systems.
• Ability to explain technical findings clearly, using accurate and reproducible evidence.
• Confidence to work independently, take responsibility and collaborate across engineering teams.
• Experience in AI workloads, benchmarking, systems architecture, parallel and distributed computing, automation, containers or modern orchestration infrastructure would be valuable.

While we have outlined a set of requirements, we value transferable skills and diverse experiences from different industries. We actively welcome applications from engineers to the profession through a returnship or after a career break.

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 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 explore complex AI systems and turn evidence into engineering insight, we’d love to hear from you. Apply now to help shape what comes next.