Williams Racing
Motorsport
AerodynamicAIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Aerodynamic AI Engineer at Williams Racing. Skills: AI/ML model development for scientific/engineering applications, Python with PyTorch, Computational geometry and mesh generation, Statistical analysis and anomaly detection, CI/CD pipeline development, Communication of complex AI concepts to engineering audiences. Develop and deploy AI models for CFD simulation data analysis. Build advanced surrogate models for aerodynamic predictions”
What You'll Achieve.
Enhance aerodynamic development, performance analysis, and operational efficiency; Give Williams Racing a competitive edge in vehicle development; Ensure high code quality standards across all aerodynamic AI applications; Improve aerodynamic development efficiency within cost cap requirements
Industry & Context.
Translating complex engineering requirements into practical AI solutions; Extracting insights to support aerodynamic development decisions; Drift detection; Anomaly identification
What They're Looking For.
Must Have
Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications, Proficiency in Python with the PyTorch framework, Understanding of computational geometry principles and familiarity with mesh generation algorithms, Experience with statistical analysis and anomaly detection techniques for large scientific datasets, Software engineering practices including CI/CD pipeline development and code quality standards, Excellent communication skills, with the ability to collaborate across technical disciplines and translate complex AI concepts for engineering audiences, Demonstrated ability to manage multiple projects and deliver results in a fast-paced, high-pressure environment, Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline (or equivalent practical experience)
Nice to Have
Experience with NVIDIA PhysicsNemo or similar physics-informed machine learning frameworks, Knowledge of fluid dynamics concepts and CFD data analysis, Experience in motorsport, Formula 1, or aerospace aerodynamics
What You'll Do.
Develop and deploy AI models for CFD simulation data analysis
Build advanced surrogate models for aerodynamic predictions
Develop AI-driven mesh generation algorithms
Develop automated geometry creation tools
Conduct comprehensive analysis of wind tunnel data
Build and maintain CI/CD pipelines for AI model deployment
Stay current with emerging AI technologies relevant to CFD and aerodynamics
Identify AI-driven opportunities to improve aerodynamic development efficiency
How You'll Work.
Team & Collaboration
Collaborate closely with aerodynamicists and CFD engineers; Translate complex engineering requirements into practical AI solutions; Communicate findings with clarity and impact; Collaborate across technical disciplines
Communication Scope
Excellent communication skills; Ability to translate complex AI concepts for engineering audiences; Communicate complex insights effectively
Process & Methodology
Manage multiple projects, Deliver results in a fast-paced, high-pressure environment
Full Job Description
For almost 50 years, Williams has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. THE ROLE The Aerodynamic AI Engineer is part of a dedicated team leveraging data and artificial intelligence to enhance aerodynamic development, performance analysis, and operational efficiency within the Aerodynamics department. Reporting to the Lead AI Engineer, you will work on specialist projects that bridge aerodynamic engineering and AI — developing advanced machine learning models, surrogate models, and automated geometry tools that give Williams Racing a competitive edge in vehicle development. This is a technically demanding, hands-on role in a fast-paced, high-pressure environment. You will collaborate closely with aerodynamicists and CFD engineers, translating complex engineering requirements into practical AI solutions and communicating your findings with clarity and impact. WHAT YOU'LL DO * Develop and deploy AI models for the analysis of CFD simulation data, extracting insights to support aerodynamic development decisions. * Build advanced surrogate models for aerodynamic
Applying for this Aerodynamic AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Williams Racing?
Real rants from real employees. Read before you apply.