CFD Methodology Engineer

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We are the Audi Revolut F1® Team.

Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026.

The team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of 'Motorsport Valley', with direct access to top F1 talent and key strategic partners.

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

The CFD Methodology Team is responsible for the development, validation and continuous improvement of the CFD simulation methodologies used across the aerodynamic development process. The team provides the technical foundation that enables accurate, reliable and efficient aerodynamic predictions, supporting both current performance delivery and future capability growth

The position is open to candidates across a broad range of seniority levels, from junior to senior. Responsibilities and expectations will be aligned with the successful candidate's experience, competencies, and level of expertise. This position for the Audi Revolut F1® Team is based at Audi Motorsport AG in Hinwil (Switzerland) or Bicester (UK). Your mission

• Contribute to overall CFD process improvement
• Work on CFD physical modelling to increase the accuracy of the prediction
• Improve the CFD workflow to reduce the time to solution
• Work closely with external software providers on specific development projects
• Work on innovative techniques for CFD, including cutting edge technologies, like GPU solvers or Machine Learning
• Stay updated with the latest advancements in CFD

Your profile

• MsC or PhD in Mathematics, Mechanical Engineering, Aerospace Engineering, or a related field with a strong focus on computational fluid dynamics
• At least 3 years professional experience in working with CFD Methods
• Experience in parallel computing and high-performance computing (HPC)
• Familiarity with developing software in Linux environments
• Strong programming skills
• Deep knowledge of developing CFD methods in OpenFOAM
• Knowledge of high-Reynolds flows physics and turbulence modelling
• Knowledge of C++ and Python programming languages
• Software release, update and deployment techniques
• General knowledge of optimization techniques, Data Science, Machine Learning and Artificial Intelligence
• Demonstrate ownership, accountability and a strong commitment to delivery
• Foster close collaboration across the CFD Group and wider Aerodynamics organisation
• Challenge assumptions and seek continuous improvement through data-driven decision making