At a Glance
- Tasks: Develop AI models to enhance aerodynamic performance and efficiency in a fast-paced environment.
- Company: Join the innovative Williams F1 Team, a leader in motorsport technology.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on exciting projects in Formula 1.
- Why this job: Make a real impact in racing by merging AI with cutting-edge aerodynamic engineering.
- Qualifications: Experience in AI/ML, strong Python skills, and a background in engineering or related fields.
The predicted salary is between 60000 - 80000 € per year.
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 predictions, with a particular focus on fluid dynamics applications.
- Develop AI‑driven mesh generation algorithms and automated geometry creation tools for aerodynamic applications.
- Conduct comprehensive analysis of wind tunnel data, including drift detection, anomaly identification, and statistical analysis to ensure data quality and reliability.
- Build and maintain robust CI/CD pipelines for AI model deployment, ensuring high code quality standards across all aerodynamic AI applications.
- Collaborate with aerodynamicists and CFD engineers to translate engineering requirements into AI solutions and communicate complex insights effectively.
- Stay current with emerging AI technologies relevant to computational fluid dynamics and aerodynamic applications.
- Identify AI‑driven opportunities to improve aerodynamic development efficiency within cost cap requirements.
Qualifications
SKILLS & EXPERIENCE
Essential
- Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications.
- Strong 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.
- Strong 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).
Desirable
- 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.
Additional Information
Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
Aerodynamic AI Engineer employer: Motorsport Network
At Atlassian Williams F1 Team, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an Aerodynamic AI Engineer, you will be at the forefront of cutting-edge technology in a fast-paced environment, with ample opportunities for professional growth and development. Our commitment to diversity and inclusion ensures that every team member's voice is valued, making it a truly rewarding place to advance your career in the thrilling world of motorsport.
StudySmarter Expert Advice🤫
We think this is how you could land Aerodynamic AI Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the aerodynamics and AI fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and projects related to aerodynamic applications. This could be anything from GitHub repositories to detailed case studies. We want to see your work in action, so make it easy for potential employers to understand your impact.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles in engineering and practice your responses. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your experience and skills, the better you'll perform!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with Python, machine learning, and CFD analysis. Let us know how you can contribute to our team at Williams Racing!
We think you need these skills to ace Aerodynamic AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Aerodynamic AI Engineer role. Highlight your experience with AI/ML models and any relevant projects that showcase your skills in Python and CFD analysis. We want to see how your background aligns 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 aerodynamics and AI, and how you can contribute to our team. Keep it concise but impactful – we love a good story that connects your experience to our mission.
Showcase Your Projects:If you've worked on any cool projects related to AI or fluid dynamics, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios. Include links to your GitHub or any relevant portfolios if you have them.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the Williams Racing family!
How to prepare for a job interview at Motorsport Network
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning models, especially in the context of aerodynamic applications. Be ready to discuss specific projects you've worked on, particularly those involving Python and PyTorch, as this will show your hands-on experience.
✨Understand Fluid Dynamics
Since the role involves a lot of fluid dynamics, it’s crucial to have a solid grasp of the concepts. Prepare to explain how you've applied these principles in past projects, especially when it comes to CFD data analysis and mesh generation algorithms.
✨Communicate Clearly
You’ll need to collaborate with aerodynamicists and engineers, so practice explaining complex AI concepts in simple terms. Think about how you can convey your findings effectively, as strong communication skills are key to success in this role.
✨Show Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in high-pressure environments. Think of examples where you managed multiple projects or identified opportunities for improvement in aerodynamic development, as this will demonstrate your ability to thrive under pressure.
