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- Tasks: Transform aerodynamic data into actionable insights using AI and machine learning.
- Company: Join the legendary Williams F1 Team, a leader in motorsport innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on Formula 1 car performance with cutting-edge technology.
- Qualifications: Experience in AI/ML models and strong programming skills required.
- Other info: Dynamic, fast-paced environment with a focus on collaboration and excellence.
The predicted salary is between 60000 - 84000 £ per year.
Williams F1 Team is seeking a Senior Aerodynamic AI Engineer to join our Aerodynamics department, working at the cutting edge of data, artificial intelligence, and vehicle performance. This role will focus on transforming aerodynamic data from CFD simulations, wind tunnel measurements, track telemetry, and geometric information into actionable insights using advanced AI and machine learning techniques.
This is an exciting opportunity to combine aerodynamic engineering expertise with AI innovation, directly contributing to the performance of a Formula 1 car in a high-pressure, fast-paced environment.
- Develop and deploy AI/ML models for aerodynamic data analysis, including CFD simulations, wind tunnel, and track data.
- Lead the creation of advanced surrogate models for aerodynamic predictions, particularly in fluid dynamics applications.
- Integrate theoretical, experimental, and real-world data to enhance aerodynamic insights beyond CFD.
- Analyse wind tunnel and track datasets, identifying anomalies, drift, and trends to ensure data quality.
- Design and maintain robust CI/CD pipelines for AI model deployment, ensuring high software engineering standards.
- Collaborate with aerodynamicists and CFD engineers to translate complex engineering requirements into AI-driven solutions.
- Stay up to date with the latest academic research and technological advances in AI, CFD, and aerodynamic applications.
- Identify AI-driven opportunities to improve aerodynamic efficiency, cost-effectively supporting the team’s performance goals.
Qualifications:
- Proven experience developing and deploying AI/ML models for scientific or engineering applications.
- Advanced proficiency in Python (PyTorch) and at least one low-level language (C, C++, Rust, Fortran), including experience maintaining Python bindings.
- Strong understanding of computational geometry and mesh generation algorithms.
- Experience with statistical analysis and anomaly detection for large scientific datasets.
- Solid knowledge of fluid dynamics principles.
- Experience in motorsport, Formula 1, or aerospace aerodynamics is highly desirable.
- Excellent communication skills, able to collaborate effectively with aerodynamicists and translate technical insights across domains.
- Strong software engineering practices, including CI/CD pipelines and code quality maintenance.
- Ability to manage multiple high-priority projects in a fast-paced, high-pressure environment.
- Master’s or PhD in Engineering, Physics, Computer Science, Mathematics, or related scientific discipline (or equivalent experience).
Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
Senior Aerodynamic AI Engineer employer: Motorsport Network
Contact Detail:
Motorsport Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Aerodynamic AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Williams F1 Team. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects showcasing your AI/ML models, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical challenges! Brush up on your fluid dynamics and coding skills, as you might face some real-world problems during the interview process. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Aerodynamic AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Aerodynamic AI Engineer role. Highlight your experience with AI/ML models and any relevant projects in motorsport or fluid dynamics. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about combining aerodynamic engineering with AI. Share specific examples of your work that demonstrate your expertise and enthusiasm for the role.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python and any low-level languages you know. Mention your experience with CI/CD pipelines and data analysis techniques. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at Motorsport Network
✨Know Your Stuff
Make sure you brush up on your aerodynamic principles and AI/ML models. Be ready to discuss your past projects in detail, especially those involving CFD simulations and data analysis. The more specific examples you can provide, the better!
✨Show Your Passion for F1
Demonstrate your enthusiasm for motorsport and the Williams F1 Team. Share your thoughts on recent races or innovations in the sport. This shows that you're not just qualified but genuinely interested in being part of the team.
✨Prepare for Technical Questions
Expect some challenging technical questions related to fluid dynamics, Python programming, and statistical analysis. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with aerodynamicists and engineers.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team's current projects or future goals. This not only shows your interest but also gives you a chance to assess if the role aligns with your career aspirations.
