At a Glance
- Tasks: Evaluate and measure large-scale Linux systems for performance and reliability.
- Company: Join Graphcore, a leader in AI compute technology backed by SoftBank.
- Benefits: Enjoy flexible working, generous leave, private health insurance, and more.
- Other info: Inclusive culture with opportunities for growth and collaboration.
- Why this job: Make a real impact on the future of AI with cutting-edge technology.
- Qualifications: Strong software engineering skills, especially in Linux and Python.
The predicted salary is between 60000 - 80000 £ per year.
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 data‑centre 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 datacentre 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 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
This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgment. 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
- 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 judgment 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
- 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, and provisioning systems (e.g. Docker, Kubernetes, OpenStack)
- Proficiency in other application 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, income protection and a generous parental leave policy. We have an employee assistance programme (including 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.
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.
Senior Systems Engineer – Performance & Reliability London, UK employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Systems Engineer – Performance & Reliability London, UK
✨Tip Number 1
Network like a pro! Reach out to current employees at Graphcore on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for technical interviews by brushing up on your systems engineering skills. Practice designing workloads and interpreting results, as these are key aspects of the role. Use mock interviews to get comfortable with the format.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past projects where you had to make tough decisions based on measurement and analysis. This will demonstrate your ability to thrive in ambiguous situations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Graphcore team.
We think you need these skills to ace Senior Systems Engineer – Performance & Reliability London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Systems Engineer role. Highlight your experience with Linux systems, Python, and any relevant projects that showcase your engineering judgement.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about performance and reliability in systems engineering. Share specific examples of how you've tackled complex problems and what you can bring to our team at Graphcore.
Showcase Your Projects: If you've worked on significant projects, especially those involving large-scale systems or automation, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at graphcore
✨Know Your Systems Inside Out
Make sure you brush up on your knowledge of Linux-based environments and distributed systems. Be ready to discuss your experience with performance and reliability testing, as well as any specific projects where you've designed workloads or interpreted results.
✨Showcase Your Problem-Solving Skills
Graphcore is looking for engineers who can navigate ambiguity. Prepare examples from your past work where you had to make decisions without clear guidelines. Highlight how you approached the problem, what measurements you took, and the outcomes of your decisions.
✨Demonstrate Your Coding Proficiency
Since proficiency in Python is key, be prepared to discuss your coding experience. You might even want to bring along a small project or code snippet that showcases your skills, especially if it involves automation or CI/CD systems like GitLab CI or Jenkins.
✨Communicate Clearly and Effectively
During the interview, focus on how you communicate your findings and results. Practice explaining complex concepts in a straightforward manner, as this will be crucial when discussing system behaviour and making decisions based on your measurements.