Industrial Placement (2027-2028) - Vehicle Performance (Strategy & Software) - Jaguar TCS Racing

Accelerate Your Career Jaguar TCS Racing is at the forefront of electric motorsport innovation, competing in the electrifying Formula E Championship. As part of the legendary Jaguar brand, our team is dedicated to pioneering advancements in electric vehicle technology, sustainability, and performance. With a rich heritage in racing and a commitment to pushing the boundaries of electric mobility, Jaguar TCS Racing combines passion, expertise, and cutting-edge technology to compete at the highest levels of motorsport.

We operate a 12-month (Summer 2027 - Summer 2028) student placement programme within the Vehicle Performance group. This is an exciting opportunity where you will work with highly skilled and experienced engineering professionals and graduates who you can learn and develop with - the more questions you ask the more you will gain from your experience. It is important to know that many of our industrial placements have been successful in obtaining graduate roles on completion of their degree.

To be eligible for an industrial placement within our Formula E Vehicle Performance group you should be working towards a STEM degree in Computer Science, Software Engineering, Mechanical Engineering, Motorsport Engineering, Data Science, Mathematics, Physics or similar. Basic experience using high level programming languages such as Python, MATLAB, JavaScript, C# and/or VBA will be required. Experience with data analysis, data visualisation, simulation tools or software application development would be advantageous.What you will do Fundamentally, our mission within the Vehicle Performance group is to make the car go faster and score points. During the placement you will primarily work with the Strategy & Software team and take on responsibilities such as:

Development of in-house software tools to optimise race strategy & energy management in real-time environments using timing and car data. Analysis of car, simulation and timing data to inform strategic decisio