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Senior Systems Engineer – Performance & Reliability (Analysis)

Graphcore — Tracked from its greenhouse job board

Gdańsk, Pomeranian Voivodeship, Poland Senior+ Posted May 2, 2026
PythonC++React NativeCloudBackendML

About the role

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.

Sponsorship

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.

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • What DevOps & Site Reliability Engineer roles ask for — across 1,405 indexed openings: Cloud (50%), Python (41%), REST/APIs (33%), Go (31%), Backend (24%). This posting names Cloud, Python, Backend, React Native, ML.
  • Graphcore is hiring actively — 158 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Graphcore's official board on May 2, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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