HPC Manager

We are seeking an experienced HPC Manager to oversee the High Performance Computing (HPC) environment supporting CFD workloads at our UK site in Milton Keynes.

The successful candidate will be responsible for ensuring maximum availability, performance, and scalability of the CFD compute cluster and its ecosystem, enabling engineering teams to run complex simulations efficiently.

Responsibilities

HPC & CFD Infrastructure Management

• Manage the CFD HPC cluster, including compute, storage, and high-performance networking;
• Ensure optimal performance and availability of CFD workloads;
• Oversee job scheduling, resource allocation, and workload prioritization;
• Drive capacity planning and future HPC architecture evolution;
• Maintain and evolve parallel file systems and data pipelines supporting CFD;
• Respond to critical issues affecting the computing cluster, including during weekends when necessary.

Collaboration with Engineering

• Work closely with CFD and engineering teams to optimize simulation workflows;
• Support users in maximizing efficiency of HPC resources;
• Act as primary point of contact for HPC-related topics in the UK site.

Operations & Reliability

• Ensure 24/7 reliability of HPC services supporting CFD activities;
• Implement monitoring, alerting, and automation;
• Lead troubleshooting of complex system and performance issues;
• Manage software stack, compilers, libraries, and tools used in CFD environments.

Leadership & Continuous Improvement

• Define best practices, documentation, and operational procedures;
• Continuously evaluate new technologies (GPU, cloud, hybrid HPC);
• Drive efficiency, scalability, and innovation across HPC services.

What We Offer

• Working in a young, collaborative and international environment;
• Tailored training;
• Company Events / Briefings;
• On-site Gym;
• Bonus scheme;
• Annual salary review process;
• Meal Tickets;
• Free additional health insurance.

Requirements

• Extensive experience in HPC environments;
• Degree in Computer Engineering;
• Strong Linux and cluster management expertise;
• Experience with HPC schedulers (Slurm, PBS, LSF);
• Knowledge of InfiniBand / low-latency networking;
• Experience with parallel file systems (Lustre, GPFS, BeeGFS);
• Strong understanding of CFD workloads and simulation environments;
• Experience with performance tuning and optimization;
• Leadership and stakeholder management skills;
• Fluency in English;
• Experience in motorsport or high-performance engineering environments;
• GPU computing (CUDA, ROCm/HIP);
• Container technologies (Singularity/Apptainer);
• Automation (Python, Ansible);
• Scripting (bash);
• Exposure to cloud or hybrid HPC.

Travel

• Travel 10-20%