At a Glance
- Tasks: Develop AI models to enhance aerodynamic performance and operational efficiency.
- Company: Join the innovative Williams F1 Team, a leader in motorsport technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact in the fast-paced world of Formula 1 with cutting-edge AI.
- Qualifications: Experience in AI/ML, strong Python skills, and a background in engineering or science.
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.
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 in Wantage employer: Williams F1 Group
At Atlassian Williams F1 Team, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Aerodynamic AI Engineer role offers the unique opportunity to work at the forefront of motorsport technology in a dynamic environment, where your contributions directly impact vehicle performance. With a commitment to employee growth, we provide access to cutting-edge resources and training, ensuring you thrive both personally and professionally while being part of a diverse and inclusive team.
StudySmarter Expert Advice🤫
We think this is how you could land Aerodynamic AI Engineer in Wantage
✨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. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and projects related to aerodynamic applications. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems under pressure!
✨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 being part of the Williams Racing team. Let’s get you that dream job!
We think you need these skills to ace Aerodynamic AI Engineer in Wantage
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 what we're looking for!
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. Be sure to mention any specific experiences that relate to the job description — we love seeing genuine enthusiasm!
Showcase Your Projects:If you've worked on any relevant projects, whether in academia or industry, make sure to include them. Describe your role, the technologies you used, and the impact of your work. This helps us understand your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're proactive and genuinely interested in joining our team at Williams Racing!
How to prepare for a job interview at Williams F1 Group
✨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 where you've developed or deployed these models, and how they contributed to performance analysis or operational efficiency.
✨Brush Up on Python and PyTorch
Since strong proficiency in Python and the PyTorch framework is essential, practice coding problems related to AI model development. Be prepared to demonstrate your coding skills during the interview, as they might ask you to solve a problem on the spot.
✨Understand Fluid Dynamics and CFD
Familiarise yourself with fluid dynamics concepts and computational fluid dynamics (CFD) data analysis. You should be able to explain how your AI solutions can enhance aerodynamic predictions and support decision-making in this area.
✨Communicate Clearly and Confidently
Since you'll need to collaborate with aerodynamicists and CFD engineers, practice explaining complex AI concepts in simple terms. Use examples from your past experiences to illustrate your points, and show that you can effectively communicate insights to a non-technical audience.
