Vehicle Dynamics Modelling Engineer Toyota Racing

Awun Smash Repair; Köln; Hybrid; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive remuneration

Social benefits

30 days annual holiday

Car leasing

Free on-site gym

Zusammenfassung

Toyota Racing is seeking a highly skilled Modelling Engineer to join its Vehicle Simulation team. You will develop and extend vehicle dynamics simulation models for full vehicle performance assessment in real-time usage and lap time calculation.

You will collaborate with a multidisciplinary team to advance Digital Twin and driving simulation technologies for racing vehicle development, contributing to research projects and staying at the forefront of modelling techniques.

Qualifikationen

• Master's degree in automotive or motorsport engineering or similar with relevant modules.
• 5+ years of professional experience in vehicle dynamics modelling and simulation.

Aufgaben

• Develop and extend in-house full vehicle dynamics simulation models for dynamic simulation and lap time calculation.
• Create physical, mathematical or data-driven models with high fidelity under constraints.
• Optimise models for the lap-time solver and real-time driver-in-the-loop environment.
• Analyse data to compare model behaviour and implement improvements.
• Stay updated with latest advancements in vehicle dynamics simulation and contribute to research projects.

Kenntnisse

Vehicle dynamics modelling

Mathematical/Physical modelling

Simulation

Optimisation

Control theory

Robotics/Mechatronics

C++

Python

Linux

Ausbildung

Master's degree in automotive or motorsport engineering

Tools

MATLAB/Simulink

Git

CI/CD tools

Jobbeschreibung

Toyota Racing is seeking a highly skilled and motivated Modelling Engineer (m/w/d) to join its Vehicle Simulation team. You will be responsible for developing and extending vehicle dynamics simulation models for full vehicle performance assessment in real-time usage and lap time calculation.

You will play a crucial role in collaborating with a multidisciplinary team of engineers and software developers. Toyota Racing is aiming to innovate and accelerate the wider deployment of state-of-the-art Digital Twin and driving simulation technologies, applied to Toyota racing vehicle development programmes.

What we offer:

• Exciting projects and a place for technical freedom and innovation to get things moving


• Attractive benefits package e.g. competitive remuneration, social benefits, 30 days annual holiday, car leasing, free on-site gym


• A challenging, fulfilling workplace in a multi-national company within a familiar atmosphere, driven by fascination and passion

Your tasks:

• Develop and extend the in-house full vehicle dynamics simulation models for dynamic simulation and lap time calculation


• Create physical, mathematical or data-driven models for the highest possible fidelity under given constraints


• Optimise the models for the in-house lap-time calculation solver and/or real-time driver-in-the-loop environment


• Analyse data to compare and correlate model behaviour, identifying gaps and implementing improvements


• Stay updated with the latest advancements in vehicle dynamics simulation technology and contribute to research projects

The successful candidate will have:

• A minimum of a master’s degree in automotive or motorsport engineering, or an engineering discipline with modules covering several of the following topics: Mathematical/Physical Modelling, Vehicle Dynamics, Simulation, Optimisation, Control Theory, or Robotics/Mechatronics.


• At least 5 years of professional experience in developing performance vehicle dynamics simulation models


• Strong proficiency in mathematical and physical modelling of vehicle dynamics systems


• Proficient knowledge in at least one programming language e.g. C++, C, MATLAB/Simulink, Python


• Previous experience in quasi-static and dynamic lap-time calculation methods


• Previous experience in optimisation methods


• Previous experience with numerical integration methods to solve dynamical models


• A clean code mindset and strong troubleshooting and problem-solving skills


• Previous experience working across multiple operating systems (e.g. Linux)


• Self-motivation, eagerness to learn, and the ability to work under pressure and manage multiple tasks effectively


• A proactive mindset to approach new challenges, proposing innovative solutions and driving development


• The appreciation and understanding of source control and continuous integration tools in a development pipeline