At a Glance
- Tasks: Transform large-scale system measurements into actionable insights for AI compute.
- Company: Join Graphcore, a leader in AI technology backed by SoftBank.
- Benefits: Enjoy flexible working, generous leave, private health insurance, and more.
- Other info: Inclusive workplace 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 Python and Linux environments.
The predicted salary is between 60000 - 75000 £ 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 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. We will work with results from real systems and help answer questions such as:
- 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 are 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.
- 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 for 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
- 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 application 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. 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. We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only.
Senior Systems Engineer – Performance & Reliability (Analysis) Bristol, 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) Bristol, UK
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Graphcore on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into performance and reliability topics. Brush up on your Python skills and be ready to discuss how you've tackled similar challenges in past projects. Show us you know your stuff!
✨Tip Number 3
Don’t just answer questions—ask them too! Show your curiosity about Graphcore’s tech and culture. This not only demonstrates your interest but also helps you figure out if it’s the right fit for you.
✨Tip Number 4
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 team at Graphcore.
We think you need these skills to ace Senior Systems Engineer – Performance & Reliability (Analysis) Bristol, UK
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and technology shine through. We want to see how your experience aligns with our mission at Graphcore, so don’t hold back on sharing your journey in the field!
Be Clear and Concise: We appreciate clarity over fluff! Make sure your application is straightforward and to the point. Highlight your relevant skills and experiences without unnecessary jargon—this helps us understand your fit for the role quickly.
Tailor Your Application: Take a moment to customise your application for the Senior Systems Engineer role. Mention specific projects or experiences that relate to performance and reliability analysis, as this shows us you’ve done your homework and are genuinely interested.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts!
How to prepare for a job interview at graphcore
✨Know Your Systems Inside Out
Make sure you have a solid understanding of systems engineering principles, especially in performance and reliability. Brush up on your experience with Linux-based environments and distributed systems, as these will be crucial in the interview.
✨Demonstrate Your Analytical Skills
Prepare to discuss how you've turned system measurements into actionable insights in past projects. Be ready to explain your thought process when faced with uncertainty and how you’ve challenged weak data conclusions.
✨Showcase Your Coding Proficiency
Since proficiency in Python is key, practice coding problems that involve automation and CI/CD systems. Familiarise yourself with pytest or similar frameworks, and be prepared to discuss your experience with containerisation tools like Docker and Kubernetes.
✨Communicate Clearly and Effectively
During the interview, focus on how you present your findings. Use clear, concise language to explain complex concepts, and emphasise the importance of accuracy in decision-making. This will demonstrate your ability to communicate effectively within a team.