Closing Date: Friday 2nd October 2026

Fueled by bold ambition

We are offering an exciting Industrial Placement opportunity within our Vehicle Performance Group, giving students the opportunity to contribute to the development of a Formula 1® car at the highest level of motorsport. Working alongside experienced engineers, you will use simulation and data analysis to explore car behaviour, identify performance opportunities and support decisions on car development, race strategy and setup direction. As part of our team, you’ll gain hands-on experience, develop valuable technical skills, and contribute to innovative engineering solutions in a fast-paced, high-performance environment.

• Support the preparation, execution and analysis of offline vehicle simulations, including lap time simulations and setup sweeps
• Assist with the development, validation and maintenance of simulation models and post-processing tools
• Analyse simulation outputs to understand the impact of setup choices, car characteristics and operating conditions on performance
• Collaborate with engineers across Technical departments to evaluate proposed car updates and setup changes
• Contribute to pre-event preparation and post-event analysis using simulation data to investigate performance trends and support engineering decisions
• Help correlate simulation results with track data and driver-in-loop (DiL) simulator feedback, investigating differences and identifying opportunities to improve model accuracy
• Participate in factory-based race support activities, assisting engineers with simulation studies and performance analysis
• Support the preparation, delivery and analysis of full car rig testing activities
• Document methods, findings and conclusions clearly, communicating results effectively to the wider engineering team
• Consistently and proactively demonstrate the team’s values and behaviours
• Follow Health and Safety, Compliance, Sustainability and other relevant policies, procedures and best practices

Requirements

What do we need from you?

• Currently studying towards a degree in Mechanical Engineering, Automotive Engineering, Motorsport Engineering, Mathematics, Physics or a related quantitative discipline
• Strong interest in vehicle performance, simulation and data analysis
• Good understanding of mathematical and physical principles, with the ability to apply them to engineering problems.
• Proficiency in at least one programming language used for engineering data analysis, such as Python or MATLAB
• Ability to interpret complex data, identify trends and draw clear, evidence-based conclusions
• An analytical and methodical approach to problem solving, with strong attention to detail
• A proactive approach to learning, with the ability to take ownership of tasks and seek guidance when needed
• Strong communication and teamwork skills, with the ability to explain technical findings clearly

A team like no other.

The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.

As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.

At Cadillac Formula 1® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.

Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.