Gpu Systems Engineer – Nyc / London / Chicago

Oxford Knight; New York, Chicago (NY, IL); On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Bonuses

Generous benefits package

Job summary

Oxford Knight is seeking a GPU Systems Engineer to lead the design, build, and optimization of large-scale HPC/AI infrastructure across multiple global data centers. You will own end-to-end projects, optimize GPU workloads, and automate operations for thousands of nodes, working with research and engineering teams.

The role emphasizes performance tuning, collaboration across teams, and leveraging NVIDIA technologies beyond CUDA to push the frontier of high-performance computing.

Qualifications

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

Responsibilities

• Design, build and optimize large-scale infrastructure (HPC/AI clusters) from concept to implementation.
• Troubleshoot and automate for thousands of nodes; optimize GPU workloads.
• Collaborate closely with research and engineering teams on infrastructure projects.
• Manage and expand triple-digit petabyte-scale storage and GPU/CPU clusters across data centers.

Skills

Linux systems engineering

GPU optimization

Python scripting & automation

CUDA / C/C++

NVIDIA technologies (NCCL, GPUDirect, 

Cross-team collaboration

Tools

NVIDIA GPU software stack

Job description

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.

Skills & Experience Required

• 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.

GPU Systems Engineer – NYC / London / Chicago New York City,London