VCARB F1 Team - HPC Manager

Experteer Overview

As HPC Manager, you will own and evolve the CFD compute cluster to deliver reliable, high-performance simulations for engineering teams. You’ll drive performance, capacity planning, and system optimization in a fast-paced, international motorsport environment. You will collaborate with CFD engineers to streamline workflows and ensure 24/7 availability. This is a chance to shape the HPC roadmap and push cutting‑edge GPU, cloud, and hybrid solutions in a mission‑driven team.Retribuzione / Benefits

• Own and manage the CFD HPC cluster (compute, storage, networking) ensuring performance and availability
• Manage job scheduling, resource allocation, and workload prioritization
• Oversee performance tuning, benchmarking, and system optimization
• Maintain and evolve parallel file systems and data pipelines for CFD
• Drive capacity planning and future HPC architecture evolution
• Travel occasionally to Milton Keynes (DC site) and respond to critical issues, including weekends
• Collaborate with CFD/engineering teams to optimize workflows and support users
• Ensure 24/7 reliability of HPC services and implement monitoring, alerts, and automation
• Lead troubleshooting of complex system issues
• Manage software stack, compilers, libraries, and CFD tools
• Lead and develop a team of HPC engineers/administrators
• Define best practices, documentation, and operational procedures
• Evaluate new technologies (GPU, cloud, hybrid HPC) for efficiency and scalability

Responsabilità

• Minimum 5 years 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 CFD workload and simulation environment understanding
• Performance tuning and optimization experience
• 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 10-20%

Requisiti fondamentali

• On site Gym
• Bonus scheme
• Annual salary review
• Meal tickets
• Free health insurance
• Tailored training

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