COMPREDICT is seeking a Mid-Level Data & Simulation Engineer to contribute to the development of next-generation virtual sensor solutions for automotive chassis systems, particularly tires and suspension. The role involves processing and analyzing vehicle sensor data, developing data-driven simulation models, and collaborating with cross-functional teams to integrate models into automotive software solutions. This position is focused on leveraging signal processing, data-driven modeling, and basic AI techniques to reduce hardware dependency and enable new functions.
Requirements
- Master’s degree in Mechanical Engineering, Automotive Engineering, Mechatronics, or a related field.
- 1–3 years of experience in data analysis, system modeling, or vehicle dynamics.
- Hands-on experience with MATLAB/Simulink and/or Python for engineering data analysis.
- Basic understanding of tire behavior, suspension systems, or chassis dynamics.
- Familiarity with CAN data, vehicle test data, or machine learning methods is a plus.