Senior HPC Engineer-

Infoplus Technologies UK Ltd; Aston; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Infoplus Technologies UK Ltd seeks an experienced Senior HPC Engineer to support and evolve enterprise HPC platforms used for research and engineering in a hybrid Stevenage-based role.

The successful candidate will administer Linux (RHEL), Slurm, and Nvidia GPU environments, including DGX/HGX systems, and provide compute support to researchers and engineers. The role combines hands-on administration with automation and documentation.

Qualifications

• 5+ years experience in HPC environments.
• 2) Strong administration of Red Hat Enterprise Linux (RHEL 7/8/9).
• 3) Hands-on Slurm in production environments.
• 4) Experience with Nvidia GPU platforms including DGX/HGX.
• 5) Proficient with CUDA and GPU-accelerated workloads.
• 6) Excellent documentation and communication skills.

Responsibilities

• Administer and troubleshoot production HPC environments.
• Manage Slurm scheduling infrastructure.
• Install, patch, and support RHEL systems.
• Deploy Nvidia DGX/HGX platforms and drivers.
• Monitor cluster performance and resource usage.
• Support researchers and engineers running compute workloads.
• Develop automation and maintain technical documentation.

Skills

HPC administration

RHEL administration

Slurm workload manager

Nvidia GPUs

CUDA toolkit

Linux troubleshooting

Technical communication

Tools

DGX/HGX systems

Nvidia drivers

CUDA toolkits

OpenMPI/MPICH

Ansible

Docker/Apptainer

Job description

Role/Job title

Senior HPC Engineer

Work Location

Stevenage, UK

Role type

Permanent/Fixed Term/Contracting

Contracting

Contracting

Mode of working

Hybrid/office based

Hybrid

Hybrid

If Hybrid, how many days are required in office?

3 days

Number of positions

1

Unit

IS-LSHC-1-Life Sciences

Duration of assignment

6 - 12 months

Any other working conditions - travel/on call/shifts

None

The Role

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.

Your 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.

Your Profile

Essential skills/knowledge/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 life cycle management and cluster expansion projects.
• Exposure to cloud-based HPC environments.
• Relevant certifications such as RHCSA, RHCE, or Nvidia certifications.