Senior HPC Engineer: Slurm, DGX GPUs, Hybrid Contract

Hamilton Barnes

Aston

Hybrid

GBP 56,000 - 73,000

Full time

2 days ago
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Job summary

Hamilton Barnes is seeking a Senior HPC Engineer for a 12-month hybrid contract based in Stevenage to administer, support and optimise enterprise HPC platforms for research and engineering workloads, including RHEL, Slurm and Nvidia GPU environments.

The role involves running production HPC clusters, deploying Nvidia GPU platforms, monitoring performance, and collaborating with researchers, engineers and vendors to deliver reliable, well-utilised systems. Hybrid work and Inside IR35 apply.

Qualifications

  • 5+ years of experience supporting HPC environments
  • Strong RHEL (7/8/9) administration
  • Hands-on production Slurm administration
  • HPC cluster, compute node and scheduler management
  • Nvidia GPU platforms including DGX/HGX, driver installation and upgrades, CUDA knowledge
  • Troubleshooting across Linux, hardware, storage and networking
  • Strong communication, problem-solving and documentation skills

Responsibilities

  • Run and troubleshoot production HPC clusters, including Slurm scheduling and RHEL systems.
  • Deploy and support Nvidia GPU platforms (DGX/HGX), including drivers, CUDA and GPU software.
  • Monitor performance, capacity and availability, and fix hardware, OS, storage and network issues.
  • Support researchers and engineers running compute-heavy workloads.
  • Work with vendors on improvements, and build automation, procedures and documentation.

Skills

HPC experience
RHEL administration
Slurm administration
GPU platforms
CUDA knowledge
Linux troubleshooting
Documentation

Tools

Ansible
Docker
Apptainer/Singularity

Job description

Hamilton Barnes is seeking a Senior HPC Engineer for a 12-month hybrid contract based in Stevenage to administer, support and optimise enterprise HPC platforms for research and engineering workloads, including RHEL, Slurm and Nvidia GPU environments.

The role involves running production HPC clusters, deploying Nvidia GPU platforms, monitoring performance, and collaborating with researchers, engineers and vendors to deliver reliable, well-utilised systems. Hybrid work and Inside IR35 apply.

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