HPC Engineer (AL-FNC1)

Description

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

Required Experience:

IC

Employment Type : Contract
Experience: years
Vacancy: 1