HPC Engineer – High-Performance Computing & Quantitative Systems

London - Hybrid

Salary: up to £70,000

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’ll 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’ll 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’re 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’s 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

Apply Now!