Tyre Science Trackside Engineer

Overview

2025 sees Money Gram Haas F1 Team celebrate its tenth season in the FIA Formula 1 World Championship… we’re just getting started. We don’t follow the status quo, we’re here to challenge the competition, and we want you to join us.

The first American Formula 1 team to compete in the sport since 1986, Money Gram Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Nine years later, and the team continues to demonstrate growth and a clear direction with its future objectives – coming off the back of its second-best season to-date in Formula 1.

We’re a racing team – not a corporate machine. We have three HQs – Kannapolis in the US, Banbury in the UK and Maranello in Italy – each powered by passionate, loyal and hardworking team ambassadors. At Money Gram Haas F1 Team – known within the paddock as the ‘family team’ – you’ll be involved in many different areas of the team, have much wider visibility across the business, and will be able to clearly see your contribution to our team.

Yes, you’ll learn from us, but we expect to learn from you too!

This position reports to the Team Leader - Tyre Science or their designee; is located in Banbury, UK. The position involves the design, development and application of advanced simulation tools, with a strong focus on tyre performance analysis using track data. This role may require providing support from the factory during race weekends and attending numerous trackside races and tests.

General Responsibilities:

Promote teamwork and effective communications to develop working relationships between all personnel and departments.

Follow all safety regulations in all venues.

Assumes any responsibilities and duties delegated by the Team Leader - Tyre Science or their designee.

Key Responsibilities:

• Supervise and mentor junior and intern engineers in their contribution to team activities.
• Support the Design Office and other departments in the design of cars and tools through simulations and data driven approaches.
• Design, development, and correlation of tools aimed at analyzing tyre performance on track. Occasionally, data analysis could also focus on data coming from rigs and simulation tools (i.e. lap sim, DIL, HIL, etc).
• Support Electronics and Control Systems departments in detecting and reporting sensors malfunctions. Propose solutions and/or support the investigation using a data driven approach.
• Contribute strongly to pre-and post-event simulations and reporting to support Race Engineering in event preparation, with a focus on improving tyre performance and the tools involved.
• Support race and test event throughout the entire weekend by following the sessions live from the factory or at the track.
• Work closely with Race Engineering by providing tyre performance analysis reports and responding to specific focus points when requested at the end of each session.
• Propose and contribute to tyre testing activities, during all trackside testing opportunities and report findings with a data driven approach.
• Assist in project management by defining objectives, test plans, data post-processing, analysis and reporting.

• Minimum BSc in any STEM subject, with robust knowledge and experience in applied mathematics or engineering. A Master’s degree or PhD is preferred.
• At least five years of experience, in either motor racing or in a Vehicle Dynamics or Performance role within mainstream automotive engineering is strongly preferred.
• Prior experience in Formula One would be beneficial

• Strong communication skills, written and verbal.
• Have an advanced understanding of tyre performance KPI and engineering.
• Comprehensive knowledge of all onboard sensors and instrumentation generally used to monitor tyre performance and operating conditions.
• Strong technical background in racing cars.
• A basic knowledge of tyre modelling.
• Work to a consistently high standard in stressful and time sensitive situations.
• Quick decision-making skills whilst working through problems in a scientific and analytical way.
• Work well within a team environment with…