Senior Systems Engineer – Performance & Reliability (Analysis)

Graphcore

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 decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted. The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision. You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps. You might find yourself: * Expanding measurement coverage from small clusters to full racks * Designing workloads that expose system behaviour * Building systems to run experiments across large clusters * Interpreting results and defining what “good enough” looks like This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement. We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume. 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, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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 UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Graphcore

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.

Graphcore

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 large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production. You will work with results from real systems and help answer questions like: * Is this system behaving as expected? * Is performance stable enough to trust? * Does this meet the criteria to enter production? This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise. You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps. This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions. We’re looking for engineers who: * Think carefully about uncertainty and evidence * Prefer clarity over presentation * Are comfortable challenging conclusions when data is weak 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++)7. Exposure to data analysis, statistics, or interpreting variability in results Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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 UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.