Formula E Modeling Engineer

We are seeking a highly motivated Formula E Modeling Engineer to join our performance and simulation team. The successful candidate will be responsible for developing, validating, and maintaining high-fidelity simulation models to support car development and race performance optimization. This role plays a crucial part in data-driven decision-making and virtual testing across a range of motorsport disciplines.

Key Responsibilities:

• Develop and maintain mathematical and physical models for vehicle systems (e.g., chassis, aerodynamics, powertrain, tires).
• Create and validate simulation tools for lap time prediction, vehicle dynamics, energy management, and driver-in-the-loop simulators.
• Collaborate closely with design, race engineering, and data analysis teams to translate on-track data into actionable insights.
• Perform correlation studies using telemetry, rig, and track data to ensure model accuracy.
• Support race strategy, setup development, and performance predictions through virtual tools.
• Optimize simulation models for both real-time and offline applications.
• Contribute to continuous improvement of simulation workflows and toolchains.
• Document methodologies and provide training and support to other engineering staff.

Requirements:

Education & Experience:

• Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, Applied Physics, or related field.
• 2+ years of experience in motorsport or automotive simulation and modeling (F1, WEC, Formula E, rally, etc.); graduate roles may be considered for junior positions.

Technical Skills:

• Strong proficiency in modeling tools such as MATLAB/Simulink, Python, or C++.
• Experience with multibody dynamics simulation tools (e.g., Dymola, Adams, CarSim, Canopy).
• Understanding of vehicle dynamics, tire behavior, aerodynamics, and/or powertrain systems.
• Familiarity with telemetry systems and motorsport data formats (e.g., MoTeC, Atlas, Wintax).
• Experience with simulation frameworks and race strategy tools is a plus.

Soft Skills:

• Analytical mindset with strong problem-solving skills.
• Team player with excellent communication and collaboration skills.
• Ability to work under pressure and deliver to tight deadlines.

Preferred Qualifications:

• Prior experience in a racing environment (trackside or remote).
• Knowledge of driver-in-the-loop simulators and HIL/SIL systems.
• Familiarity with real-time systems and embedded control models.
• Exposure to machine learning or optimization techniques.