Senior AI Systems Administrator — HPC & GPU Infra

Pure Resourcing Solutions; Cambridgeshire and Peterborough; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Pension

Benefits package

Professional development

City-centre office near Cambridge rail

Job summary

Pure Resourcing Solutions is seeking a Senior AI Systems Administrator in Cambridge to manage multi-rack GPU clusters for training and inference. The role covers hardware, fabric, and orchestration, with permanent or contract arrangements and on-site work in Cambridge.

You will deploy GPUs, tune servers, design high-performance networks, and operate Linux across multiple distributions. Collaboration with researchers and engineers is essential to improve system performance.

Qualifications

• Significant experience as a Systems Administrator, HPC Engineer, MLOps Engineer or similar.
• Hands-on GPU server deployment and tuning.
• Strong InfiniBand/RDMA/RoCE knowledge and solid network design skills.
• Advanced Linux, virtualization, Git and infrastructure-as-code experience.
• A collaborative approach: you like working with the people who use the systems.

Responsibilities

• Deploying, tuning and managing modern GPU servers across several racks.
• Building and running high-performance networks (InfiniBand, RDMA, RoCE), plus the switches, routers and firewalls around them.
• Running Linux at an advanced level across several distributions (Ubuntu, RHEL), including hosts running hypervisors and VMs.
• Managing the estate as code with Git and Terraform/OpenTofu.
• Working closely with researchers and engineers to keep improving how the systems perform.

Skills

GPU server deployment

InfiniBand/RDMA

Advanced Linux

Infrastructure-as-code

Collaboration

Tools

Git

Terraform

OpenTofu

Job description

Pure Resourcing Solutions is seeking a Senior AI Systems Administrator in Cambridge to manage multi-rack GPU clusters for training and inference. The role covers hardware, fabric, and orchestration, with permanent or contract arrangements and on-site work in Cambridge.

You will deploy GPUs, tune servers, design high-performance networks, and operate Linux across multiple distributions. Collaboration with researchers and engineers is essential to improve system performance.