Job Opportunities API

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