HPC Engineer (AL-FNC260723 003/01)

About this role

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