Senior Engineer (m/f/d) Driving Simulation

Toyota Motorsport GmbH; Köln; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative company in the motorsport industry is seeking a Senior Engineer to join their Vehicle Simulation team. This role involves developing real-time vehicle simulation models and performance optimization algorithms, contributing to cutting-edge Digital Twin technologies. The successful candidate will thrive in a collaborative environment, leveraging strong analytical skills and a deep understanding of vehicle dynamics. With exciting projects and a supportive atmosphere, this position offers the chance to make a significant impact in automotive development. If you are passionate about engineering and eager to drive innovation, this is the perfect opportunity for you.

Leistungen

30 days annual holiday

Car leasing

Free on-site gym

Competitive remuneration

Social benefits

Qualifikationen

• 5+ years of experience in performance vehicle dynamics simulation.
• Strong proficiency in mathematical and physical modelling of vehicle dynamics systems.
• Experience with code generated from Simulink.

Aufgaben

• Develop and maintain vehicle simulation models for dynamic simulation.
• Collaborate with team members to integrate mathematical models.
• Stay updated with advancements in driving simulation technology.

Kenntnisse

Mathematical Modelling

Vehicle Dynamics

Simulation

Optimization

Control Theory

Robotics

C++

MATLAB/Simulink

Python

Problem-Solving

Ausbildung

Master's Degree in Automotive Engineering

Bachelor's Degree in Engineering

Tools

Simulink

Linux

Source Control Tools

Jobbeschreibung

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Don’t just go to work; become part of a unique company within a fast-moving industry. TOYOTA GAZOO Racing Europe – creating excitement through team spirit and advanced technology!

We are seeking a highly skilled and motivated Senior Engineer (m/w/d) to join our Vehicle Simulation team. You will be responsible for developing real-time vehicle simulation models and lap-time calculation and performance optimization algorithms. 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 and road vehicle development programmes.

Are you a team player who thrives on responsibility, with strong analytical skills and a very good understanding of control systems? Then you are the right person to take on this challenge. Experience teamwork and be inspired by the passion of our 450-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 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 maintain the TGR-E in-house vehicle simulation models for dynamic simulation and quasistatic solving
• Develop and maintain the TGR-E in-house lap-time calculation and performance optimization algorithms
• Collaborate with other TGR-E members to integrate provided mathematical and physical models and support their code optimization
• Maintain composure during demanding situations, exhibiting a “cool-head” approach to problem-solving
• Approach challenges with a proactive mindset, proposing innovative solutions and driving development
• Stay updated with the latest advancements in driving simulation technology and contribute to research projects

The successful candidate will have:

• Minimum a master’s degree in automotive or motorsport engineering or an engineering discipline with modules related to Mathematical/Physical Modelling, Vehicle Dynamics, Simulation, Optimisation, Control Theory or Robotics/Mechatronics
• At least 5 years of experience in performance vehicle dynamics simulation
• Strong proficiency in mathematical and physical modelling of vehicle dynamics systems as well as optimization methods
• Strong experience in development of quasistatic and dynamic lap-time calculation and performance optimization methods
• Proficient knowledge in more than one programming language – e.g., C++, C, MATLAB/Simulink, Python
• Previous experience working with code generated from Simulink
• 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

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