Data & Simulation Engineer – Vehicle Dynamics

COMPREDICT GmbH; Darmstadt; Vor Ort; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A leading company in Darmstadt is seeking a Data & Simulation Engineer to develop next-generation virtual sensor solutions. The role involves processing large-scale vehicle data, developing simulation models, and collaborating with cross-functional teams. Ideal candidates will have a Master's degree in a relevant field and strong skills in data analysis and modeling.

Qualifikationen

• Master's degree in Mechatronics, Mechanical Engineering, Automotive Engineering, or related field.
• Strong background in time-series analysis and numerical simulation.
• Proficiency in Python and/or Matlab/Simulink.

Aufgaben

• Process and analyze large-scale time-series data from vehicle sensors.
• Develop data-driven simulation models to estimate vehicle component loads.
• Implement and optimize numerical models for vehicle dynamics applications.

Kenntnisse

Time-series analysis

System modeling

Numerical simulation

Data processing

Machine learning

Ausbildung

Master's degree in Mechatronics

Master's degree in Mechanical Engineering

Master's degree in Automotive Engineering

Tools

Python

Matlab

Simulink

Jobbeschreibung

Data & Simulation Engineer – Vehicle Dynamics

Your mission

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.

Your profile

• Master's degree in Mechatronics, Mechanical Engineering, Automotive Engineering, or a related field.
• Strong background in time-series analysis, system modeling, and numerical simulation.
• Proficiency in Python and/or Matlab/Simulink for data processing and model development.
• Knowledge of vehicle dynamics and sensor data interpretation.
• Experience with machine learning and statistical modeling is a plus.

COMPREDICT is driving the paradigm shift towards software-defined vehicles, offering next-level solutions for sustainable mobility. Founded in 2016 in Darmstadt, Germany, by Dr. Rafael Fietzek and Dr. Stéphane Foulard, our focus lies in developing Virtual Sensors for Mobility to optimize vehicle design, usage, and maintenance. We partner with and serve automotive manufacturers and Tier1 companies worldwide. With a diverse team of 35+ members from 10 different nations, we are on an exciting journey of growth and innovation.