Don’t just go to work; become part of a unique company within a fast-moving industry. Toyota Racing is creating excitement through team spirit and advanced technology.
As an Engineer Performance & Simulation (m/f/d), you will play a key role in the field of race car performance optimisation and participate in road car projects that facilitate technology transfer from race to road cars.
You will optimise car performance through simulation and data analysis, with continuous improvement to internal methodologies and processes. You will collaborate with cross-functional teams to improve the performance and reliability of Le Mans Hypercar, GT3 and road car projects.
Are you a team player who thrives on responsibility, with strong analytical skills and a very good understanding of vehicle dynamics? Then you may be the right person to take on this challenge. Experience teamwork and be inspired by the passion of our 500-strong workforce for motorsport and automotive projects.
What we offer:
- Exciting projects and a place for technical freedom and innovation to get things moving
- Attractive benefits packages 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:
- Analyse simulation results from offline simulation tools, driver-in-loop simulators and track data to evaluate vehicle performance
- Identify areas for improvement and recommend design or process modifications
- Conduct investigative studies using an analytical or simulation approach to enhance vehicle performance
- Validate simulation models by comparing predictions with real-world data to ensure correlation accuracy
- Develop and implement metrics (KPIs) to support performance analysis optimisation
- Apply and develop in-house optimisation techniques to enhance vehicle performance and reliability
- Regularly communicate findings and recommendations of simulation and analytical studies with clearly written documentation, including assumptions, methodologies and results
- Contribute to the development and improvement of internal processes and methodologies while contributing to vehicle development through evaluation of new vehicle concepts. Stay updated on industry trends, emerging technologies and best practices
The successful candidate will:
- Have an academic degree in mechanical engineering, mathematics, computer science or a related field. A Ph.D. may be an advantage
- Show a high proficiency with scripting languages such as Python, and MATLAB is a requirement
- Display knowledge of one or more of the following areas of vehicle science: vehicle dynamics, tyres, suspension, aerodynamics or control systems
- Have experience with vehicle dynamics simulation software
- Be proficient with time-series data viewer software such as ATLAS or Wintax
- Display knowledge and experience of signal-processing theory and techniques
- Be familiarwith optimisation theory and techniques
- Experience with artificial intelligence and machine learningmay be an advantage
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