HPC Engineer (AL-FNC260723 003/01)

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 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