HPC Support Engineer
Hays · London, England ·
Overview In this role you will support and enhance the institutions high-performance computing environment, including HPC and GPU clusters, research storage, high-speed networking and hybrid cloud infrastructure. You will administer Linux-based clusters, manage scientific software stacks and help researchers maximise HPC resources.
You will automate deployment and monitoring using Python, Bash, Ansible, Docker, Kubernetes and CI/CD tools, while collaborating with researchers and technical teams. This is your chance to contribute to cutting-edge computational research and AI-driven projects at a prestigious, research-led university in London.
Responsibilities Administer and support HPC clusters, GPU systems and specialist research hardware Manage workload scheduling with Slurm or OpenPBS Maintain scientific software, compilers and libraries using Spack or EasyBuild Automate the lifecycle of compute and GPU nodes Troubleshoot complex Linux, storage, networking and performance issues Support containerised and cloud-based research workloads Help researchers optimise applications for parallel computing and GPU acceleration Deliver technical guidance, documentation and training Key requirements Advanced Linux cluster administration experience Experience with HPC schedulers such as Slurm or OpenPBS Knowledge of CUDA or OpenCL Strong scripting and automation skills using Python, Bash or Ansible Experience with Docker, Kubernetes, Git and CI/CD practices Knowledge of monitoring and observability tools such as Grafana, ELK Stack or Splunk Experience using HPC software build frameworks such as Spack or EasyBuild Knowledge of scientific software stacks, compilers and libraries Experience managing large-scale storage and file systems The ability to work directly with researchers and translate technical requirements into practical solutions Experience with cloud-based HPC, infrastructure-as-code tools, research computing environments or higher education would be advantageous collaboration clear communication with researchers problem-solving Advanced Linux cluster administration HPC schedulers: Slurm or OpenPBS CUDA or OpenCL