GPU / High-Performance Computing Engineer – Quant Research Acceleration | Hedge Fund | London

A leading systematic hedge fund is seeking a GPU and High-Performance Computing Engineer to dramatically accelerate the speed and scale of quantitative research. As the fund's signal universe grows and ML models become more central to alpha generation, the ability to run millions of simulations and train large models quickly is a direct competitive advantage — and you will be the person who delivers it.

Why This Role Exists:

The fund's quant researchers are generating more ideas than the current compute infrastructure can evaluate. You will build the GPU-accelerated backtesting, simulation, and model training infrastructure that turns compute constraints into a thing of the past. This is a rare role that few candidates can do well — and compensation reflects that.

Key Responsibilities:

• Design and implement GPU-accelerated backtesting engines and signal computation pipelines

• Optimise numerical computations using CUDA, cuBLAS, cuDNN, and related GPU libraries

• Build distributed computing infrastructure for large-scale cross-sectional and time-series backtests

• Work with ML researchers to accelerate model training and hyperparameter search

• Profile and optimise existing Python/C++ research code for GPU and multi-core CPU execution

• Design memory-efficient data access patterns for large financial datasets

• Evaluate and deploy cloud GPU infrastructure (AWS, GCP) for burst compute workloads

Required Experience & Qualifications:

• 3–7 years of GPU or HPC engineering experience

• Expert CUDA programming skills; experience with OpenCL or ROCm a plus

• Strong C++ and Python skills with experience in scientific computing

• Experience with distributed computing frameworks (Ray, Dask, Spark)

• Understanding of quantitative finance research workflows preferred

• Experience with AWS/GCP GPU instances and containerised deployment

• Degree in Computer Science, Engineering, Physics, or Mathematics from a leading university

What We Offer:

• Highly competitive compensation — among the best in London's technical hiring market

• Direct impact on the fund's research velocity and competitive edge

• State-of-the-art on-premise and cloud GPU infrastructure

• Work alongside some of the best quant researchers in the industry