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About the Role

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.

Responsibilities

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

Requirements

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
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
Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
Experience with performance, reliability, or systems-level testing/measurement
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
Applicants for this position must hold the right to work in the UK.
Unable to provide visa sponsorship or support for visa applications.

Skills

Python
Automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
Familiarity with pytest or similar frameworks for structured test/measurement execution

Location

Bristol

Work Type

Flexible working

Experience Level

Significant practical experience
Several years of experience

Salary/Compensations

Competitive salary

Benefits

Generous annual leave policy
Private medical insurance and health cash plan
Dental plan
Pension (matched up to 5%)
Life assurance and income protection
Generous parental leave policy
Employee assistance programme (which includes health, mental wellbeing, and bereavement support)
Range of healthy food and snacks at our central Bristol office
Own barista bar

About the Company

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.

Equal Opportunity

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.