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- Tasks: Analyse workloads and optimise performance for cutting-edge research projects.
- Company: Leading research firm at the forefront of quantitative computing.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing technology that drives groundbreaking research.
- Qualifications: Experience in performance engineering and strong programming skills required.
- Other info: Collaborative team culture with a focus on practical experimentation and clear communication.
The predicted salary is between 48000 - 72000 £ per year.
A specialist research and engineering firm operating at the cutting edge of quantitative computing is investing heavily in its performance engineering capability. The organisation combines deep scientific thinking with large scale infrastructure, creating an environment where complex algorithms meet some of the fastest hardware available. They are seeking an engineer who is driven by understanding how technology behaves at its limits and who wants to turn raw compute power into tangible research progress.
In this role you will work directly with researchers and infrastructure specialists to analyse demanding workloads and remove the barriers that limit speed and efficiency. The position sits at the intersection of software, hardware, and mathematics, requiring curiosity about the whole stack rather than one narrow layer. You will join a team that values careful measurement, practical experimentation, and clear thinking over fashion or buzzwords.
Responsibilities- Work closely with research teams to understand real computational challenges and translate them into technical improvements
- Analyse and profile training and inference workloads to identify performance constraints
- Design and implement optimisation techniques across operating systems, runtime libraries, and application code
- Create reference tooling and reusable components that help other engineers run jobs more efficiently
- Collaborate with platform and architecture groups to influence the future direction of the compute stack
- Benchmark new hardware and software approaches to guide long term decisions
- Share findings clearly so both technical and non-technical audiences can benefit
- Academic or professional background in computer science or a related discipline
- Demonstrated experience improving the performance of distributed or large scale workloads
- Strong programming ability with exposure to languages used in systems and machine learning work
- Knowledge of GPU programming concepts and heterogeneous computing
- Solid understanding of Linux fundamentals including scheduling, memory behaviour, and networking
- Experience with HPC style scheduling or Kubernetes based execution
- Familiarity with modern profiling and analysis tools
- Interest in data structures, algorithms, and parallel computation
- Ability to collaborate effectively with researchers and engineers from different disciplines
If you enjoy solving problems where small improvements have enormous impact and want to work close to the heart of a world class research platform, this role offers that opportunity.
Senior Performance Engineer in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Performance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the performance engineering field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving performance optimisation and large-scale workloads. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with distributed systems, GPU programming, and any relevant tools you've used. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate engineers who want to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Performance Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Performance Engineer role. Highlight your experience with distributed workloads and any relevant programming languages, as we want to see how you can contribute to our cutting-edge projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for performance engineering. Share specific examples of how you've tackled complex computational challenges and what drives your curiosity about technology at its limits.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Use concrete examples to illustrate how you've improved performance in past roles. We love seeing how small tweaks can lead to big results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our innovative team.
How to prepare for a job interview at Arcus Search
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of performance engineering, especially in relation to distributed and large-scale workloads. Be ready to discuss specific examples where you've improved performance, and how you approached those challenges.
✨Showcase Your Curiosity
This role requires a deep understanding of the entire tech stack. Prepare to ask insightful questions about the company's current projects and express your enthusiasm for learning more about their unique challenges in performance engineering.
✨Demonstrate Collaboration Skills
Since you'll be working closely with researchers and engineers, think of examples that highlight your ability to collaborate across disciplines. Share experiences where you successfully communicated complex technical concepts to non-technical audiences.
✨Prepare for Practical Problem-Solving
Expect to tackle real-world problems during the interview. Brush up on optimisation techniques and be ready to discuss how you would approach analysing and profiling workloads. Practising with profiling tools can give you an edge!
