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
About Graphcore
At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
We turn measurements from large-scale systems into engineering decisions. Our team runs workloads on Linux clusters (from rack scale upwards) and collects detailed performance and reliability data. The key challenge is interpreting these results correctly and deciding whether a system is ready for production.
You will work on:
- Analysing results from measurements of distributed systems
- Understanding performance variability and repeatability
- Defining what “normal” and “acceptable” system behaviour looks like
Typical work includes:
- Working with measurement data from compute, network, and ML workloads
- Analysing results produced by automated test frameworks (e.g. pytest-based systems)
- Comparing results across runs, configurations, and system scales
- Helping define thresholds for pass/fail decisions
You may also:
- Influence how measurements are designed to produce better data
- Improve how results are stored, queried, and interpreted
This is not a traditional data analysis or BI role. The focus is on understanding system behaviour and supporting engineering decisions.
We are looking for engineers who:
- Are comfortable working with real-world, imperfect data
- Can reason about distributed systems performance
- Focus on evidence and correctness rather than presentation
Selection criteria:
Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.
Essential
- Strong software engineering experience, typically gained across multiple projects or systems over several years
- Experience working in Linux-based environments, ideally with distributed or high-performance systems
- Proficiency in Python
- Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
- Ability to design, implement, and run experiments or tests that produce meaningful results
- Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
- Comfortable working in areas where requirements are not fully defined and judgement is required
Desirable
- Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
- Experience with performance, reliability, or systems-level testing/measurement
- Familiarity with pytest or similar frameworks for structured test/measurement execution
- Experience analysing system behaviour under load(compute, network, or ML workloads)
- Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
- Proficiency in other applications programming languages (e.g. C++)
- Exposure to data analysis, statistics, or interpreting variability in results
Benefits
In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Skills Required
- Strong software engineering experience
- Experience working in Linux-based environments
- Proficiency in Python
- Experience with automation and CI/CD systems
- Ability to design, implement, and run experiments or tests
- Ability to interpret results and communicate findings clearly
What the Team is Saying
Graphcore Compensation & Benefits Highlights
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Healthcare Strength — U.S. offerings include day-one medical through Cigna/Kaiser with PPO and HDHP options plus employer HSA contributions, dental/vision, life insurance at 3x salary, disability, and mental-health support via Spring Health. Globally, private medical insurance, dental cover, a health cash plan, life assurance, income protection, and wellbeing support are highlighted.
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Retirement Support — U.S. employees are offered a 401(k) with a 100% company match up to 6% with a year-end true-up. In the UK/Europe, matched pension schemes up to 5% are stated.
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Leave & Time Off Breadth — Policies include flexible or “unlimited” PTO with 11 paid U.S. holidays and paid family leave. Careers materials also emphasize generous parental leave and flexible hours.
Graphcore Insights
What We Do
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
Gallery
Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
