At a Glance
- Tasks: Transform large-scale system measurements into actionable insights for AI performance.
- Company: Join Graphcore, a leader in AI compute 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 technology and systems engineering.
- Qualifications: Strong software engineering skills, especially in Python and Linux environments.
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, 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 judgment. Depth in one area is valued, but the ability to work across boundaries is equally important.
- 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, 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
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 (Analysis) 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 (Analysis) London, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Graphcore employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Prepare for those tricky technical interviews! Brush up on your systems engineering knowledge and be ready to discuss your experience with performance and reliability. We want to see how you think through problems, so practice explaining your thought process.
✨Tip Number 3
Show off your projects! If you've worked on relevant systems or have experience with Python, automation, or CI/CD, make sure to highlight these in conversations. We love seeing real-world applications of your skills.
✨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 (Analysis) London, UK
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Systems Engineer role. Highlight your experience with performance and reliability, and don’t forget to mention any relevant projects that showcase your skills in systems engineering and analysis.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your proficiency in Python, experience with Linux-based environments, and any work you've done with distributed systems. Mention specific tools or frameworks you’ve used, like pytest or CI/CD systems.
Communicate Clearly: When writing your application, clarity is key. We appreciate straightforward communication, so make sure your points are easy to understand. Use examples to illustrate how you’ve tackled uncertainty and made decisions based on data.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Graphcore.
How to prepare for a job interview at graphcore
✨Know Your Systems Inside Out
Make sure you brush up on your knowledge of systems engineering, especially in relation to performance and reliability. Be prepared to discuss your experience with Linux-based environments and distributed systems, as well as how you've tackled challenges in these areas.
✨Demonstrate Your Analytical Skills
Since the role involves interpreting performance data, be ready to showcase your analytical skills. Prepare examples of how you've designed and run experiments or tests, and how you’ve communicated your findings clearly to support engineering decisions.
✨Familiarise Yourself with Relevant Tools
Get comfortable with tools and frameworks mentioned in the job description, like Python, pytest, and CI/CD systems. If you have experience with Docker or Kubernetes, be sure to highlight that too, as it shows you're well-versed in modern engineering practices.
✨Prepare for Uncertainty
The role requires working in areas where requirements may not be fully defined. Think about past experiences where you've had to make decisions with incomplete data. Be ready to discuss how you approached these situations and what conclusions you drew from them.