VCARB F1 Team - HPC Manager
Visa Cash App Racing Bulls Formula 1 Team is one of two Red Bull-owned Formula 1 teams.
Today’s Formula 1 calls for a high level of specialist skills in every area. At Visa Cash App RB Formula 1 Team we strongly believe that every member of our staff can and should lead innovation and continuous improvement in such a competitive and dynamic working environment.
Sounds exciting, doesn't it? Don't miss your chance to make an impact!
We are currently looking for an experienced HPC Manager to be responsible for the management, performance, and continuous evolution of the High Performance Computing (HPC) environment supporting CFD workloads and all related services at our UK site in Milton Keynes. The role ensures maximum availability, performance, and scalability of the CFD compute cluster and its ecosystem, enabling engineering teams to run complex simulations efficiently in a highly competitive, performance-driven environment.
Areas that play to your strengths
All the responsibilities we'll trust you with:
Own and manage the CFD HPC cluster, including compute, storage, and high-performance networking;
Ensure optimal performance and availability of CFD workloads;
Manage job scheduling, resource allocation, and workload prioritization;
Oversee performance tuning, benchmarking, and system optimization;
Maintain and evolve parallel file systems and data pipelines supporting CFD;
Drive capacity planning and future HPC architecture evolution;
Availability to respond to critical issues affecting the computing cluster, including during weekends when necessary.
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.
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.
Define best practices, documentation, and operational procedures;
Continuously evaluate new technologies (GPU, cloud, hybrid HPC);
Drive efficiency, scalability, and innovation across HPC services.
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.
Once you’ve submitted your application, you’ll most likely receive an invitation to complete the Red Bull Wingfinder assessment. Taking the test is not mandatory for your application to be reviewed; however, we strongly recommend completing it, as it’s a great way to better understand your own strengths and potential!
Due to the very high volume of applications, we’re unfortunately not able to provide individual feedback or application status updates, except for candidates who have interviewed with our team.
In line with pay transparency regulations (Legislative Decree 96/2026), the minimum fixed salary for this role is the contractual minimum set by the National Collective Labour Agreement for the Metalworking Industry (Federmeccanica/Assistal) for classification level B1. We specify that the above mentioned level is a minimum threshold and does not correspond to the overall compensation package, which is determined by objective, measurable and gender-neutral criteria, being significantly higher than the contractual minimum indicated.
Your areas of knowledge and expertise
that matter most for this role:
- 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 10-20%
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