We are looking for HPC Engineers to design, deploy and operate high-performance computing infrastructure supporting research, simulation and data-intensive workloads.

You will manage compute clusters, parallel storage, high-speed interconnects and job scheduling environments.

The role requires deep knowledge of HPC hardware and software alongside strong operational skills for cluster administration, performance optimisation and user support.

Key Responsibilities

• Design, deploy, and manage HPC compute clusters and GPU infrastructure
• Administer job scheduling platforms such as Slurm, PBS Pro, or LSF
• Maintain and optimise parallel file systems including Lustre, BeeGFS, or IBM Spectrum Scale (GPFS)
• Manage high-speed interconnect technologies such as InfiniBand and Omni-Path
• Deploy and support scientific computing software, MPI frameworks, compilers, and research applications
• Monitor cluster health, utilisation, job performance, and storage capacity
• Troubleshoot system, application, and infrastructure-related issues
• Implement automation and configuration management using tools such as Ansible
• Collaborate with researchers, faculty members, IT teams, and technology vendors to support research workloads
• Maintain technical documentation, capacity planning records, and operational procedures
• Support security, compliance, and governance requirements within the HPC environment

Requirements

For HPC Engineer (L2)

• Degree in Computer Science, Engineering, Information Technology, or a related discipline
• 2 to 5 years of experience in Linux systems administration, infrastructure operations, or HPC environments
• Experience with cluster management, job schedulers, or large-scale Linux platforms
• Knowledge of storage, networking, and performance tuning concepts
• Familiarity with automation and scripting tools

For Senior HPC Engineer (L3)

• 5 to 10 years of experience supporting HPC, scientific computing, or large-scale distributed infrastructure
• Strong expertise in HPC cluster architecture and operations
• Experience supporting GPU environments and accelerator technologies
• Hands-on experience with parallel file systems and high-speed interconnect fabrics
• Proven track record in performance optimisation, capacity planning, and enterprise-scale operations

Technical Skills

Experience in several of the following areas:

• Linux Administration (Red Hat / Rocky Linux / CentOS)
• Slurm, PBS Pro, LSF
• NVIDIA GPU Platforms
• MPI (OpenMPI, Intel MPI)
• InfiniBand / Omni-Path
• GPFS / Spectrum Scale, Lustre, BeeGFS
• Ansible, Infrastructure Automation
• Singularity / Apptainer Containers
• Spack, Environment Modules, Lmod
• Performance Monitoring and Capacity Management