HPC & Scientific Computing Engineer

About the role

A global technology-driven manufacturer, which uses HPC, cloud computing, AI and advanced modelling and simulation to support research and engineering teams, is looking for an experienced HPC / Linux Systems Engineer. The role supports and maintains HPC and scientific computing environments, working closely with researchers, engineers and application teams to keep computing environments stable, performant and available.

Key responsibilities

• Administer, maintain and troubleshoot Linux-based servers and HPC computing environments
• Support HPC clusters, compute nodes, storage systems and related infrastructure
• Manage and troubleshoot workload schedulers such as SLURM, PBS, LSF or similar
• Provide technical support for scientific, engineering and simulation applications
• Manage software installation, configuration, deployment, upgrades and troubleshooting
• Administer software licensing systems, including FlexLM and other licence management tools
• Monitor system performance, troubleshoot infrastructure issues and optimise computing resources
• Support cloud infrastructure, virtualisation and containerisation technologies, including Docker and Kubernetes
• Maintain system documentation, operational procedures and support records, and work with researchers and engineers to improve computing workflows

Required profile

• Degree or diploma in Computer Science, Information Technology, Computer Engineering or a related discipline
• Relevant experience in Linux system administration and infrastructure support
• Hands-on experience supporting HPC clusters or scientific computing environments
• Experience supporting scientific, engineering or modelling and simulation applications
• Ability to work independently and collaborate with technical teams and end users

Required skills

• Linux system configuration, shell scripting and troubleshooting
• HPC job schedulers such as SLURM, PBS, LSF or equivalent
• Software licensing management, particularly FlexLM
• Familiarity with cloud platforms, Docker, Kubernetes and infrastructure management
• Good understanding of networking, storage and server infrastructure