Senior Engineer (m/f/d) Driving Simulation

Toyota Gazoo Racing; Deutschland; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Ein dynamisches Unternehmen sucht einen Senior Engineer für das Fahrzeug-Simulationsteam, um innovative Fahrzeugmodelle zu entwickeln. In dieser spannenden Rolle sind Sie für die Entwicklung von Echtzeit-Simulationsmodellen und die Optimierung von Algorithmen verantwortlich. Sie werden eng mit einem multidisziplinären Team zusammenarbeiten, um die neuesten Technologien in der Fahrzeugentwicklung voranzutreiben. Wenn Sie eine Leidenschaft für Motorsport und technische Herausforderungen haben und in einem internationalen Umfeld arbeiten möchten, ist diese Position genau das Richtige für Sie.

Leistungen

30 Tage Urlaub

Kostenlose Nutzung des Fitnessstudios

Attraktive Vergütung

Firmenwagen-Leasing

Qualifikationen

• Mindestens 5 Jahre Erfahrung in der Fahrzeugdynamik-Simulation.
• Starke Kenntnisse in mathematischer Modellierung und Optimierung.

Aufgaben

• Entwicklung und Pflege von Fahrzeug-Simulationsmodellen und Algorithmen.
• Zusammenarbeit mit anderen Ingenieuren zur Integration von Modellen.

Kenntnisse

Analytische Fähigkeiten

Problem-solving

Teamarbeit

Mathematische Modellierung

Fahrzeugdynamik

Optimierungsmethoden

Programmierkenntnisse (C++, C, MATLAB/Simulink, Python)

Selbstmotivation

Ausbildung

Masterabschluss in Fahrzeugtechnik oder Motorsporttechnik

Tools

MATLAB/Simulink

Linux

Source Control

Continuous Integration Tools

Jobbeschreibung

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 controls 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 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:

• 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 relating to several of the following topics: 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, be able to work under pressure, be able to manage multiple tasks effectively, and eager to learn

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