HPC Engineer

Pearson Whiffin; East Midlands; On-site; GBP 40,000 - 60,000; Full time

Job summary

A technology solutions provider is searching for an experienced High Performance Computing (HPC) Engineer in the East Midlands to design, maintain, and optimise large-scale computing environments. Key responsibilities include deploying HPC clusters, optimising performance for various workloads, and supporting application optimisation. Candidates should have expertise in HPC environments and scripting languages, with a strong focus on ensuring the high availability and scalability of HPC systems.

Qualifications

• Hands-on experience with HPC environments and parallel computing.
• Knowledge of MPI, OpenMP, and/or CUDA.
• Experience with job schedulers, preferably Slurm.
• Familiarity with high-speed interconnects such as InfiniBand or Omni-Path.
• Experience with scripting languages like Bash or Python.

Responsibilities

• Design, deploy, and manage HPC clusters (on-prem, cloud, or hybrid).
• Install, configure, and optimise job schedulers.
• Tune system performance for various workloads.
• Support users with application optimisation.
• Automate system administration using scripting tools.

Skills

HPC environments and parallel computing

MPI, OpenMP, CUDA

Job schedulers (Slurm preferred)

High-speed interconnects (InfiniBand, Omni-Path)

Scripting languages (Bash, Python)

Performance profiling and optimisation techniques

GPUs and accelerator-based systems

Cloud HPC (AWS, Azure, GCP)

Containers (Singularity/Apptainer, Docker)

Configuration management tools (Ansible, Puppet, Chef)

Supporting scientific or research workloads

Job description

We are seeking an experienced High Performance Computing (HPC) Engineer to design, maintain, and optimise large-scale computing environments that support data-intensive and compute-heavy workloads. You will work closely with researchers, developers, and infrastructure teams to ensure high availability, performance, and scalability of HPC systems.

Key Responsibilities

• Design, deploy, and manage HPC clusters (on-prem, cloud, or hybrid)
• Install, configure, and optimise job schedulers (e.g. Slurm, PBS, LSF)
• Tune system performance for CPU, GPU, memory, storage, and network workloads
• Support users with application optimisation and parallelisation
• Automate system administration using scripting and configuration management tools
• Monitor system health, capacity, and performance
• Troubleshoot hardware, software, and performance issues
• Collaborate on future architecture planning and upgrades
• Maintain documentation and best practices

Required Skills & Experience

• Hands-on experience with HPC environments and parallel computing
• Knowledge of MPI, OpenMP, and/or CUDA
• Experience with job schedulers (Slurm preferred)
• Familiarity with high-speed interconnects (InfiniBand, Omni-Path)
• Experience with scripting languages (Bash, Python)
• Understanding of performance profiling and optimisation techniques
• Experience with GPUs and accelerator-based systems
• Knowledge of cloud HPC (AWS, Azure, GCP)
• Experience with containers (Singularity/Apptainer, Docker)
• Configuration management tools (Ansible, Puppet, Chef)
• Experience supporting scientific or research workloads