Vehicle Dynamics Modelling Engineer (m/w/d)

TOYOTA GAZOO Racing Europe; Köln; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Germany is seeking a highly skilled Modelling Engineer to join their Vehicle Simulation team. The candidate will develop and extend simulation models for vehicle performance. Responsibilities include optimizing models, analyzing data, and contributing to innovative simulation technologies. Applicants should have a master's degree and significant experience in vehicle dynamics and programming. This role offers competitive remuneration, social benefits, and a dynamic work environment with 30 days annual holiday.

Leistungen

Competitive remuneration

Social benefits

30 days annual holiday

Free on-site gym

Car leasing

Qualifikationen

• Minimum of a master's degree in automotive or motorsport engineering.
• At least 5 years of experience in vehicle dynamics simulation models.
• Proficient in mathematical and physical modelling of vehicle dynamics.

Aufgaben

• Develop and extend full vehicle dynamics simulation models.
• Create physical or data-driven models for fidelity under constraints.
• Optimize models for lap-time calculations and real-time simulations.

Kenntnisse

Mathematical/Physical Modelling

Vehicle Dynamics

Simulation

Programming (C++, Python)

Optimization methods

Problem-solving skills

Ausbildung

Master's degree in automotive or motorsport engineering

Tools

MATLAB/Simulink

C

Jobbeschreibung

We are seeking a highly skilled and motivated Modelling Engineer (m/w/d) to join our Vehicle Simulation team. You will be responsible for developing and extending our 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. We aim to innovate and accelerate the wider deployment of state-of-the-art Digital Twin and driving simulation technologies, applied to Toyota GR racing vehicle development programmes.

What we offer

• Exciting projects and a place fortechnical freedom and innovationto get things moving
• Attractive benefits packagese.g. competitive remuneration, social benefits, 30 days annual holiday, car leasing, free on-site gym
• A challenging, fulfilling workplace in amulti-national companywithin 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 highest possible fidelity under given constraints
• Optimize the models for our in-house lap-time calculation solver and/or our 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 quasistatic and dynamic lap-time calculation methods
• Previous experience in optimization 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, ability to work under pressure, manage multiple tasks effectively, and eagerness to learn.
• 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