At a Glance
- Tasks: Evaluate and measure large-scale Linux systems for performance and reliability.
- Company: Join Graphcore, a leading AI compute company backed by SoftBank.
- Benefits: Enjoy flexible working, generous leave, private medical 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 technology with your engineering skills.
- Qualifications: Strong software engineering experience, 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 datacentre 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.
Senior Systems Engineer Performance & Reliability in London employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Systems Engineer Performance & Reliability in London
✨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. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Linux systems knowledge and Python skills. Practice coding challenges and system design problems that relate to performance and reliability. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant systems engineering or measurement projects, be ready to discuss them in detail. Highlight your role, the challenges faced, and how you contributed to the success of the project.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Graphcore team. Let’s get you in the door!
We think you need these skills to ace Senior Systems Engineer Performance & Reliability in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong software engineering experience, especially in Linux-based environments and Python proficiency. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about the role and how you can contribute to our team. Share specific examples of your work with distributed systems or performance testing, and don’t forget to mention your ability to communicate findings clearly.
Showcase Your Projects:If you’ve worked on relevant projects, whether personal or professional, make sure to include them! We love seeing practical applications of your skills, especially in areas like automation, CI/CD systems, or system behaviour analysis. It gives us a better picture of what you can bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Graphcore!
How to prepare for a job interview at graphcore
✨Know Your Systems
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 Software Skills
Since strong software engineering experience is essential, prepare to talk about your proficiency in Python and any other programming languages you know. Bring examples of how you've used automation and CI/CD systems like GitLab CI or Jenkins in your previous roles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your judgement and decision-making skills. Think of scenarios where you had to work with unclear requirements or where the right answer wasn't obvious. Be ready to explain your thought process and how you arrived at your conclusions.
✨Communicate Clearly
Practice explaining complex technical concepts in a clear and concise manner. Since you'll need to interpret results and communicate findings effectively, consider doing mock interviews with friends or colleagues to refine your communication skills.