HPC Support Engineer

Reference: 4835409Job ID: 5419031Posted: 2026-10-07Closing date: 2027-01-05Location: LondonSalary: Up to 52,000 per annumJob type: PermanentWorking pattern: Full timeIndustry: Education & Training / InfrastructureCompany: HaysConsultant: Charlie DesboroughHays office: London-City — 5th Floor, 107 Cheapside,Phone: +44 333 010 2458Email: charlie.desborough@hays.comYour new companyYou will join a prestigious, research-led higher education institution in London, supporting academics and researchers undertaking complex computational research and AI-driven projects. The organisation is continuing to invest in its high-performance computing capabilities, providing an opportunity to work with advanced research infrastructure and emerging technologies.Your new roleAs a Research HPC Support Engineer, you will support, maintain and enhance the organisation’s high-performance computing environment. This includes HPC and GPU clusters, research storage, high-speed networking and hybrid cloud infrastructure.You will administer and optimise Linux-based clusters, manage scientific software stacks and help researchers make effective use of HPC resources. You will also improve automation, monitoring and deployment processes using technologies such as Python, Bash, Ansible, Docker, Kubernetes, Grafana and CI/CD tooling.Working closely with researchers and technical teams, you will:Administer and support HPC clusters, GPU systems and specialist research hardwareManage workload scheduling through technologies such as Slurm or OpenPBSMaintain scientific software, compilers and libraries using tools such as Spack or EasyBuildAutomate the lifecycle of compute and GPU nodesTroubleshoot complex Linux, storage, networking and performance issuesSupport containerised and cloud-based research workloadsHelp researchers optimise applications for parallel computing and GPU accelerationDeliver technical guidance, documentation and trainingWhat you'll need to succeedYou will need strong hands-on experience supporting high-performance computing environments, alongside:Advanced Linux cluster administration experienceExperience with HPC schedulers such as Slurm or OpenPBSKnowledge of parallel computing and GPU technologies such as CUDA or OpenCLStrong scripting and automation skills using Python, Bash or AnsibleExperience with Docker, Kubernetes, Git and CI/CD practicesKnowledge of monitoring and observability tools such as Grafana, ELK Stack or SplunkExperience using HPC software build frameworks such as Spack or EasyBuildKnowledge of scientific software stacks, compilers and librariesExperience managing large-scale storage and file systemsThe ability to work directly with researchers and translate technical requirements into practical solutionsExperience with cloud-based HPC, infrastructure-as-code tools, research computing environments or higher education would be advantageous.What you'll get in returnThis is an opportunity to work within a highly regarded research environment where your expertise will directly support innovative computational research and AI applications.You will work with modern HPC and GPU technologies, contribute to the future design of research computing services and collaborate with researchers tackling complex, data-intensive challenges. The position also provides scope to explore emerging technologies and influence continuous improvements across the HPC environment.What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #4835409 - Charlie Desborough