Senior GPU Systems Engineer for Large-Scale HPC & AI

eFinancialCareers; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Market-leading salary

Bonuses

Generous benefits

Cutting-edge tech

Job summary

eFinancialCareers is seeking engineers with 5+ years of Linux systems engineering experience on large-scale HPC/AI/ distributed infrastructure. You will design, build and optimize infrastructure for thousands of nodes and petabyte-scale storage in globally distributed data centers.

Join a highly collaborative R&D team, own critical infrastructure projects end-to-end, and work with the latest GPU technologies to enable high-impact research and trading innovations.

Qualifications

• 5+ years Linux systems engineering on large-scale HPC, AI or distributed infra.
• Strong Python scripting and automation experience; CUDA/C++ is a plus.
• Knowledge of GPU optimization and troubleshooting distributed GPU workloads.
• Experience with NVIDIA technologies beyond CUDA (NCCL, GPUDirect RDMA, NVLink).
• Clear communication and collaboration across diverse technical teams.

Responsibilities

• Design, build and optimize large-scale infrastructure across HPC/AI clusters.
• Own projects from concept to implementation and support in distributed data centers.
• Work with research and engineering teams to deliver high-impact infrastructure.
• Tackle petabyte-scale storage challenges and massive CPU/GPU clusters.

Skills

Linux systems experience

GPU optimization

Python scripting

CUDA / C++ experience

NVIDIA technologies (NCCL, GPUDirect,

communications

Tools

CUDA

NVIDIA GPUs

Job description

eFinancialCareers is seeking engineers with 5+ years of Linux systems engineering experience on large-scale HPC/AI/ distributed infrastructure. You will design, build and optimize infrastructure for thousands of nodes and petabyte-scale storage in globally distributed data centers.

Join a highly collaborative R&D team, own critical infrastructure projects end-to-end, and work with the latest GPU technologies to enable high-impact research and trading innovations.