Formula 1 Engineering Intern - 13-Month, On-Track Impact

Arrow McLaren IndyCar; Woking; Hybrid; GBP 19,000 - 23,000; Full time

Job summary

McLaren Racing offers a 13-month Engineering Internship starting in July 2027, within Aerodynamics, Design, Performance or Racing. You will work on meaningful projects that influence on-track performance, guided by experienced colleagues in a collaborative, high-performing team.

We seek candidates pursuing Engineering, Mathematics or related sciences, aiming for at least a 2:1, with strong computing skills and a practical, data‑driven approach.

Qualifications

• Enrolment in a degree in Engineering, Mathematics or a scientific discipline and available to start July 2027.
• Working towards a minimum 2:1 degree classification or equivalent.
• General computing skills and software knowledge relevant to engineering.
• Demonstrates a practical approach to engineering and strong problem solving.
• Passion for motorsport; previous motorsport experience welcome but not essential.

Responsibilities

• Deliver engineering projects within your placement area contributing to on‑track performance.
• Take responsibility for specific projects with guidance from experienced team members.
• Integrate quickly into your team and contribute to shared goals.
• Apply technical knowledge and develop practical solutions to engineering challenges.
• Manage your work proactively to deliver against demanding deadlines.

Skills

Engineering knowledge

Analytical skills

Problem-solving

Education

Engineering/Mathematics/Scientific discipline

Tools

General computing skills

Job description

McLaren Racing offers a 13-month Engineering Internship starting in July 2027, within Aerodynamics, Design, Performance or Racing. You will work on meaningful projects that influence on-track performance, guided by experienced colleagues in a collaborative, high-performing team.

We seek candidates pursuing Engineering, Mathematics or related sciences, aiming for at least a 2:1, with strong computing skills and a practical, data‑driven approach.