Performance Engineer Geneva - Switzerland

MISSIONS AND RESPONSIBILITIES:

FIA World Championships:

• Conduct performance analysis for other FIA championships – Deliver data-driven insights to support Balance of Performance (BoP), Equivalence of Technology (EoT), and regulation development for series such as WRC, WRX, and others
• Support wind tunnel homologation activities for LMH, LMGT3, GT3

ABB FIA Formula E World Championship:        

• Support race definitions –  Contribute to the definition of race formats (e.g. number of laps, duration) by running simulations and coordinating with key stakeholders
• Perform full-grid post-event performance analysis, analyzing the onboard data from all competitors to assess performance, identify anomalies, and provide input for technical and sporting decisions
• Support technical operations during the event – Assist FIA Technical Experts and the Championship Manager on-site with real-time simulations and targeted analyses
• Be part of the development of the next generation of racing car, following the project from the concept phase to prototype car track test until the first race. Simulations will play a key role in the definition of the car spec and in supporting the development of the Single Suppliers

Performance:

• Maintain and update performance analysis tools to ensure timely and effective analysis
• Introduce new technologies, like AI, to leverage the large FIA vehicle data database

Simulation:

• Lead the vehicle model correlation and development to deliver the most accurate simulation results possible
• Benefit from the collaboration with the simulation engineer to push forward the limit of the current modelling and simulation accuracy

PROFILE:

• Mechanical / Automotive / Motorsport Engineering Master's degree
• At least 3 years of post-graduate relevant experience in motorsport as a performance or simulation engineer
• English - fluent spoken and written
• French and/or Italian are an asset
• Motorsport Data Performance Analysis – ability to summarize the KPI within a large dataset and extract the main conclusions
• Basic knowledge on all the areas of a racing car (chassis, aerodynamics, power-unit, tyres,...)
• Race Strategy – capability to optimize the outcome with the available information, such as race energy management,etc
• Engineering programming languages: Matlab/Simulink, Python, etc.
• Telemetry tools (Wintax, Atlas, Motec,...)
• Data Analytics (PowerBi,..)
• Excellent organisation and communication skills
• Ability to work in the strictest confidence with suppliers and teams and under tight deadlines

The FIA is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome and encourage applications from all qualified candidates.