GPU Systems Engineer

• 5+ years’ Linux systems engineering experience on a large scale in HPC, AI or distributed infrastructure
• Substantial knowledge of GPU optimization & performance, and of troubleshooting distributed GPU workloads
• Strong Python scripting & automation frameworks experience is required; CUDA or C/C++ is a plus
• Experience with NVIDIA technologies beyond CUDA (e.g. NCCL, GPUDirect RDMA, NVLink)
• Strong communication skills; able to collaborate effectively across diverse technical teams

• Market-leading salary + bonuses + generous benefits package
• Friendly, informal yet highly rewarding work culture
• Work with the latest technologies on complex problems with significant impact
• Feel valued and be rewarded for your hard work where coding is front and centre

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

This is one of the world’s leading algorithmic trading firms, looking for engineers with large-scale Linux expertise to take on a high-impact role with broad scope, covering everything from HPC/AI cluster design & performance tuning, to troubleshooting and automation for thousands of nodes.

Joining the R&D team, this role offers motivated engineers the opportunity to design, build, and optimize large-scale infrastructure, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. You’ll thrive in the highly collaborative environment, working closely with research and engineering teams, and you’ll own critical infrastructure projects - from concept to implementation and support.

This position would be perfect for someone who enjoys by high-impact work in a fast-paced, competitive industry, surrounded by some of the brightest minds in the field.