Senior HPC Engineer: Slurm Specialist & Cluster Architect

TEKsystems

Stevenage

On-site

GBP 94,000 - 127,000

Full time

4 days ago
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Job summary

TEKsystems in Stevenage, UK, is seeking a Senior HPC Engineer with a core expertise in Slurm workload management. You will own scheduling, job and queue design, and enforce cluster policies across our HPC estate. This role centers on Slurm ownership and requires leadership in HPC operations.

The position demands 10+ years in enterprise IT, deep Slurm expertise, strong GPU/CUDA knowledge, and proficient RHEL administration, with collaboration across scientists to support research workloads.

Qualifications

  • Minimum of 10 years in enterprise IT with significant hands-on experience in High-Performance Computing (HPC) environments.
  • Deep expertise in Slurm workload management.
  • Proficiency in managing RHEL infrastructure.
  • Strong knowledge of GPU/CUDA technologies.
  • Proven ability in root cause analysis.

Responsibilities

  • Own and manage the Slurm workload manager.
  • Design and implement job and queue scheduling strategies.
  • Develop and enforce cluster policies across the HPC estate.
  • Manage, secure, and maintain Red Hat Enterprise Linux (RHEL) infrastructure across versions 7, 8, and 9.
  • Provide support for scientific applications and facilitate collaboration with research scientists.

Skills

Slurm workload management
HPC architectures
RHEL administration
GPU/CUDA technologies
Root cause analysis
Enterprise IT experience

Tools

CUDA
RHEL tooling

Job description

TEKsystems in Stevenage, UK, is seeking a Senior HPC Engineer with a core expertise in Slurm workload management. You will own scheduling, job and queue design, and enforce cluster policies across our HPC estate. This role centers on Slurm ownership and requires leadership in HPC operations.

The position demands 10+ years in enterprise IT, deep Slurm expertise, strong GPU/CUDA knowledge, and proficient RHEL administration, with collaboration across scientists to support research workloads.

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