Function Owner (Tire Wear)
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Your mission
With the increasing shift toward Software Defined Vehicles and broader access to vehicle data exciting opportunities have emerged in chassis modeling and advanced analytics. Were looking for a Function Ownerwho is eager to work with vehicle dynamics dataespecially from tires and suspension systemsand contribute to the development of the next generation of virtual sensor solutions.
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 and physics-based simulation models to estimate vehicle component wear (especially tire and brake).
- Design implement and optimize numerical and control-oriented models for vehicle dynamics applications using model-based development approaches.
- Translate simulation and control models into production-ready functions and support their deployment on embedded systems (ECUs) including code generation and integration.
- Work with Python and/or MATLAB/Simulink for data analysis modeling auto-code generation and model validation.
- Manage deployment for customers as well as core development and research.
- Collaborate with cross-functional teams including data scientists and software engineers to integrate developed models and functions into automotive software architectures.
Your profile
- 8 years of experience in physical modelling and system-based approaches for vehicle dynamics motion control or similar fields.
- Strong understanding of vehicle dynamics control systems and signal processing.
- Hands-on experience in model-based development (e.g. MATLAB/Simulink) and transformation of models into embedded software functions.
- Experience with deployment and integration of functions on embedded systems (ECUs) including code generation workflows.
- Degree in electronics mechatronics mechanical engineering or a related field.
- Experience with MATLAB/Simulink is required; Python or C code is a strong plus.
- Knowledge of machine learning concepts is an advantage. Previous experience in ASPICE development is a plus.
About us
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.
About Company
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 optim ... View more
