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
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