At a Glance
- Tasks: Develop AI models to enhance aerodynamic performance and efficiency in racing.
- Company: Join a leading motorsport team at the forefront of technology.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Collaborate with top engineers in a dynamic, high-pressure environment.
- Why this job: Make a real impact in the fast-paced world of Formula 1 engineering.
- Qualifications: Experience in AI/ML, strong Python skills, and a passion for engineering.
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
- 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).
- 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.
Aerodynamic AI Engineer employer: MSMagazin
At Williams Racing, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the fast-paced world of motorsport. Our Aerodynamic AI Engineer role offers a unique opportunity to work at the cutting edge of technology, with access to advanced tools and a culture that encourages professional growth and development. With a commitment to excellence and a supportive team environment, you will be empowered to make a meaningful impact on our aerodynamic performance while enjoying the thrill of working in Formula 1.
StudySmarter Expert Advice🤫
We think this is how you could land Aerodynamic AI Engineer
✨Join Aerospace Forums and Groups
Get involved in aerospace engineering forums and online communities, like the AIAA (American Institute of Aeronautics and Astronautics). It's a great way to meet industry peers and stay updated on job openings and trends in the field.
✨Attend Industry Conferences
Keep an eye on upcoming aerospace conferences and events where you can network with professionals and showcase your interest. Events like the Farnborough International Airshow are not just about flying machines; they're a goldmine for connections and potential job leads.
✨Spotlight Your Projects
Make sure to highlight any hands-on experience or projects on your portfolio that showcase your skills in aerospace engineering. Employers love seeing practical applications of theoretical knowledge. Show us what you've got!
✨Apply Directly on Company Websites
When you find companies you want to work for, head straight to their careers page to apply for full-time roles, like the one with MSMagazin for a Aerodynamic AI Engineer. This often puts your application in front of the right people faster than just waiting for job boards!
We think you need these skills to ace Aerodynamic AI Engineer
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for the aerospace engineering role at MSMagazin, make sure to highlight your technical expertise. Include specific software skills, like CAD tools or simulation software, and any relevant engineering projects you’ve worked on. This is your chance to really shine and showcase your engineering toolkit!
Don't Skip Your Projects!:Include a section in your CV dedicated to projects that demonstrate your problem-solving abilities in aerospace engineering. Whether it's a university project, an internship, or personal work, we love seeing how you’ve applied your skills in real-world scenarios. Make it clear what your role was and the impact of the project.
Show Your Passion in Your Cover Letter:At MSMagazin, we're not just looking for skills – we want to know why you’re passionate about aerospace engineering. Use your cover letter to express what excites you about aviation technology and your career goals. Share any relevant experiences or inspirations that have led you to apply for this full-time position.
Tailor Your CV for Aerospace:Make sure your CV is specifically tailored to aerospace engineering. Focus on your education, any certifications, and your work experience, ensuring you highlight aspects that relate directly to the role. Don’t forget to mention any internships or apprenticeships that have given you hands-on experience.
How to prepare for a job interview at MSMagazin
✨Brush Up on Your Technical Knowledge
Aerospace engineering is all about technical precision, so make sure you’re comfortable with key concepts like aerodynamics, propulsion, and materials science. We recommend going through any relevant coursework or projects you’ve worked on – these real-world examples can illustrate your understanding during the interview with MSMagazin.
✨Showcase Your Projects with Confidence
Make sure to have a portfolio ready that details any significant projects you've worked on, whether it’s a group assignment or a personal endeavour. Be prepared to discuss the challenges you faced, the tools you used, like CAD software, and what you learned from the experience, as this will show your problem-solving skills in action.
✨Prepare for Technical Interviews
Expect some technical questions or even problem-solving exercises during your interview with MSMagazin. Get familiar with design challenges or theoretical problems related to aerospace; this can range from calculating lift and drag forces to materials selection under stress. Practising these can help you feel more at ease when faced with tricky questions.
✨Emphasise Your Passion and Teamwork Skills
As a full-time candidate, it’s crucial to convey your passion for aerospace engineering and your ability to work in teams. Highlight any group projects or internships you've done, focusing on how you collaborated with others to achieve a goal. Companies like MSMagazin love seeing candidates who not only have technical skills but also fit well within their team culture.
