Vehicle Performance Intern: Formula E Tech & Strategy

RaceStaff.com; Kidlington; On-site; GBP 20,000 - 24,000; Full time

Job summary

Jaguar TCS Racing is offering a 12-month industrial placement in the Vehicle Performance group, Summer 2027 to Summer 2028. You will work with engineers and graduates to learn and develop, with many placements leading to graduate roles upon degree completion.

Ideal candidates are pursuing a STEM degree in CS, software/mechanical/motorsport engineering or data science, with basic experience in Python, MATLAB, JavaScript, C#, or VBA. Knowledge in data analysis and visualization is advantageous.

Qualifications

• Working toward a STEM degree in CS, Software Engineering, Mechanical/Motorsport Engineering, Data Science, Mathematics or Physics.
• Basic experience with high level programming languages such as Python, MATLAB, JavaScript, C# and/or VBA.
• Experience with data analysis, data visualization, simulation tools or software development is advantageous.

Responsibilities

• Develop in-house software tools to optimise race strategy and energy management in real-time using timing and car data.
• Analyse car, simulation and timing data to inform strategic decisions.
• Contribute to pre- and post-event analyses of race strategy and competitor performance.
• Ensure software is robust for production with strong attention to detail and use source control.
• Maintain and improve data pipelines to automate processes and analysis.
• Participate in the Ops Room during race weekends to support the team at the track (occasional unsociable hours).

Education

STEM degree (CS, Software Engineering, Mechanical Engineering, Motorsport Engineering, Data Science, Mathematics, Physics)

Tools

Python

MATLAB

JavaScript

C#

VBA

Job description

Jaguar TCS Racing is offering a 12-month industrial placement in the Vehicle Performance group, Summer 2027 to Summer 2028. You will work with engineers and graduates to learn and develop, with many placements leading to graduate roles upon degree completion.

Ideal candidates are pursuing a STEM degree in CS, software/mechanical/motorsport engineering or data science, with basic experience in Python, MATLAB, JavaScript, C#, or VBA. Knowledge in data analysis and visualization is advantageous.