For the past five years, we have been developing Virtual Sensors capable of replacing physical sensors in cars. Our models leverage advanced signal processing, data-driven simulation, and AI-based techniques, enabling automotive companies to reduce hardware costs while introducing innovative functionalities such as vehicle health monitoring. 
With the rise of the Software Defined Vehicle and the increasing availability of vehicle data, new opportunities for advanced analytics and modeling have emerged. We are now looking for a Data & Simulation Engineer with expertise in vehicle dynamics, signal processing, and data-driven modeling to help us develop next-generation virtual sensor solutions. If you are passionate about working with large-scale vehicle data, system modeling, and numerical simulations, this role is for you! 
 
Your Responsibilities 

• Process and analyze large-scale time-series data from vehicle sensors using advanced signal processing techniques (time and frequency domain).
• Develop data-driven simulation models to estimate vehicle component loads (e.g., tires, suspension, chassis elements).
• Implement and optimize numerical models for vehicle dynamics applications.
• Work with Python and/or Matlab/Simulink for data analysis, simulation, and model validation.
• Collaborate with cross-functional teams, including data scientists and software engineers, to integrate simulation models into automotive software solutions.