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- Tasks: Optimise and debug high-performance computing platforms for financial institutions.
- Company: Specialist technology consultancy at the forefront of HPC and finance.
- Benefits: Salary up to £70,000, hybrid work, and exposure to complex workloads.
- Why this job: Gain real ownership and impact in a dynamic, technical team.
- Qualifications: Experience in managed languages and low-level programming; HPC or finance background preferred.
- Other info: Collaborative environment with strong problem-solving focus.
The predicted salary is between 42000 - 84000 £ per year.
A specialist technology consultancy is seeking an HPC Engineer to work at the intersection of high-performance computing, cloud infrastructure, and quantitative finance. This role focuses on designing, optimising, and debugging large-scale compute platforms used by financial institutions for risk modelling, simulation, and low-latency analytics.
You will work in a small, highly technical team where engineers collaborate closely with quantitative specialists and low-level systems experts. This is a hands-on role for someone who enjoys understanding how systems behave at a deep level and wants real ownership over performance-critical solutions, rather than working in a ticket-driven or product-only environment.
What you will be working on:
- Optimising large-scale risk and simulation workloads alongside quantitative teams
- Designing and debugging CPU and GPU-based compute platforms and clusters
- Working on GPU kernels, memory layouts, and performance tuning
- Translating financial domain requirements into efficient system designs
- Advising on platform performance, correctness, and cost efficiency
What we are looking for:
- Commercial experience with at least one managed language (Java, C#, or Python)
- Practical experience with a low-level, manual-memory language (C, C++, or Rust)
- Background in either high-performance computing or financial systems (e.g. risk, trading, analytics)
- Strong problem-solving skills and an interest in performance-critical systems
What is on offer:
- Salary up to £70,000, depending on experience
- Exposure to complex, real-world HPC and quantitative workloads
- High ownership and direct impact within a specialist engineering team
- Broad technical scope rather than a single product or narrow stack
High-Performance Computing Engineer in London employer: Hamilton Barnes ?
Contact Detail:
Hamilton Barnes ? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High-Performance Computing Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the HPC and finance sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and understanding of performance-critical systems. Practice solving problems related to HPC and quantitative finance. We recommend using platforms like LeetCode or HackerRank to sharpen those skills!
✨Tip Number 3
Showcase your projects! If you've worked on any HPC-related projects or have experience with performance tuning, make sure to highlight them in your conversations. We love seeing real-world applications of your skills, so don’t be shy about sharing your achievements!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make an impact in the HPC space. So, don’t wait – get your application in today!
We think you need these skills to ace High-Performance Computing Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the HPC Engineer role. Highlight your experience with managed languages like Java, C#, or Python, and don’t forget to mention any low-level languages you’ve worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about high-performance computing and how your background in financial systems makes you a great fit for our team.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in past roles. We love seeing how you approach challenges, especially in performance-critical environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our hiring process quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hamilton Barnes ?
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of high-performance computing and the specific technologies mentioned in the job description. Be ready to discuss your experience with managed languages like Java, C#, or Python, as well as low-level languages such as C, C++, or Rust. The more you can demonstrate your technical expertise, the better!
✨Showcase Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Think about past challenges you've faced in optimising compute platforms or debugging systems. Be ready to walk through your thought process and how you arrived at your solutions. This will show your potential employer that you have the analytical skills they’re looking for.
✨Understand Financial Systems
Since this role involves working closely with quantitative finance, it’s crucial to have a grasp of financial concepts related to risk modelling and analytics. Brush up on relevant terminology and be prepared to discuss how your technical skills can translate into efficient system designs for financial applications.
✨Demonstrate Team Collaboration
This position is all about working in a small, technical team. Be ready to share examples of how you've collaborated with others in the past, especially with quantitative specialists or systems experts. Highlight your ability to communicate complex ideas clearly and work towards common goals, as teamwork is key in this role.
