Senior HPC Engineer

LA International; Stevenage; Hybrid; GBP 92,000 - 138,000; Full time

Job summary

LA International seeks an experienced Senior HPC Engineer to support and evolve enterprise HPC platforms used for research, engineering, and computational workloads on a long-term program. The role requires hands-on Linux (RHEL), Slurm, and Nvidia GPU-based environments, including DGX/HGX systems.

The successful candidate will administer, optimize, and troubleshoot production HPC clusters, collaborating with researchers and engineers to deliver infrastructure improvements.

Qualifications

• 5+ years of experience supporting HPC environments.
• Strong admin experience with Red Hat Enterprise Linux (RHEL 7/8/9).
• Hands-on Slurm in production.
• Experience managing HPC clusters and scheduling infrastructure.
• Experience Nvidia GPU platforms (DGX/HGX).
• Knowledge of CUDA and GPU workloads.
• Ability to work with engineers, researchers and technical stakeholders.
• Strong problem solving and documentation skills.

Responsibilities

• Administer, maintain, and troubleshoot production HPC environments.
• Manage and support Slurm infrastructure.
• Install, configure, patch, and support RHEL systems.
• Deploy, manage, and troubleshoot Nvidia GPU platforms including DGX/HGX.
• Install, maintain, and upgrade Nvidia drivers and CUDA toolkits.
• Monitor cluster performance and resource utilization.
• Support researchers and engineers running compute workloads.
• Diagnose and resolve hardware, OS, storage, and network issues.
• Collaborate with vendors and stakeholders to improve HPC infrastructure.
• Develop and maintain automation and technical documentation.

Skills

HPC administration

RHEL administration

Slurm workload manager

Nvidia GPU platforms

DGX/HGX systems

CUDA toolkit

GPU drivers

Linux troubleshooting

Tools

Docker

Apptainer/Singularity

Ansible

InfiniBand

Lustre

GPFS

OpenMPI/OpenMP

Job description

Senior HPC Engineer

12 Month contract initially + Extensions

Based: Hybrid working. 2-3 days p/w onsite in Stevenage

Rate - £Market rates p/d via Umbrella

We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a Senior HPC Engineer on a long term program of work.

We are seeking an experienced Senior HPC Engineer to support and evolve enterprise High Performance Computing (HPC) platforms used for research, engineering, and computational workloads. The successful candidate will be responsible for administering and optimizing HPC infrastructure, with particular emphasis on Linux (RHEL), Slurm workload management, and Nvidia GPU-based computing environments. The role requires hands-on experience supporting both traditional HPC clusters and GPU-accelerated platforms, including Nvidia DGX/HGX systems.

Key Responsibilities:

• Administer, maintain, and troubleshoot production HPC environments.
• Manage and support Slurm workload scheduling infrastructure.
• Install, configure, patch, and support Red Hat Enterprise Linux (RHEL) systems.
• Deploy, manage, and troubleshoot Nvidia GPU platforms, including DGX/HGX infrastructure.
• Install, maintain, and upgrade Nvidia drivers, CUDA toolkits, and GPU software stacks.
• Monitor cluster performance, capacity, availability, and resource utilization.
• Support researchers, engineers, and technical users running compute-intensive workloads.
• Diagnose and resolve hardware, operating system, storage, network, and application issues.
• Work with vendors and internal stakeholders to deliver HPC infrastructure improvements.
• Develop and maintain automation, operational procedures, and technical documentation.

Key Skills & Experience:

• 5+ years' experience supporting High Performance Computing (HPC) environments.
• Strong administration experience with Red Hat Enterprise Linux (RHEL 7/8/9).
• Hands-on administration of Slurm Workload Manager in production environments.
• Experience managing HPC clusters, compute nodes, and scheduling infrastructure.
• Practical experience supporting Nvidia GPU-based platforms.
• Hands-on experience with Nvidia DGX and/or HGX systems.
• Experience installing, configuring, upgrading, and troubleshooting Nvidia GPU drivers.
• Strong working knowledge of CUDA and GPU-accelerated workloads.
• Experience troubleshooting Linux, hardware, storage, and networking issues within HPC environments.
• Ability to work directly with engineers, researchers, and technical stakeholders.
• Strong problem-solving, communication, and documentation skills.

Desirable skills/knowledge/experience:

• Experience with HPC storage technologies such as Lustre or GPFS.
• Knowledge of InfiniBand networking.
• Experience supporting AI/ML or GPU-accelerated workloads.
• Familiarity with OpenMPI, MPICH, or parallel computing frameworks.
• Experience with automation tools such as Ansible.
• Knowledge of container technologies including Docker or Apptainer/Singularity.
• Experience with HPC hardware lifecycle management and cluster expansion projects.
• Exposure to cloud-based HPC environments.
• Relevant certifications such as RHCSA, RHCE, or Nvidia certifications.

Employer Commitment:

We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.