About the 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
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