Senior Vehicle Modelling Engineer

Festanstellung, Vollzeit · Hinwil

Join the Audi F1 Project - Shape the Future of Motorsport!

Welcome to the Audi F1 Project.

Audi will be competing in the FIA Formula 1 World Championship from 2026.

The new team has three locations. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Sauber Motorsport Technical Center, UK will be operational this year. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations.

What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

This position for the Audi F1 Project is at Sauber in Hinwil (Switzerland).

Your mission

Develop the physics model of the vehicle, including subsystems such as suspension, powertrain, tyre, and aerodynamic representations
Develop the suspension kinematics model and simulation software
Collaborate with other departments to design and implement state-of-the-art simulation methodologies
Develop methods to support trackside operations (mechanical car setup, telemetry data processing, model correlation, etc)
Optimize the simulation code for runtime performance and readability
Ensure all source code is tested, documented, and communicated clearly to key stakeholders

Your profile

Master’s degree or PhD in Engineering, Physics, Applied Mathematics, or related field
Significant experience (postdoctoral or industrial) developing mathematical models in various areas, where differential equations (ODE, PDE, DAE) form the main component of the models
Experience in Formula 1 or other high-level motorsport series is desirable
Experience coding in C/C++. Knowledge of C#, Python, Matlab/Simulink, and/or Modelica would also be beneficial
Solid understanding of defining and solving models based on systems of differential equations (ODE, PDE, DAE, SDE).
Experience developing simulation software for high fidelity numerical simulations, ideally for lap time optimization and Driver in the Loop simulator
Good understanding of Machine Learning approaches and applications, including regression of parameters; good command of data driven models (response surfaces, neural networks, etc)
Strong understanding of mathematical optimization methods (e.g. gradient based, stochastic methods, etc)
Knowledge of vehicle dynamics, vehicle performance, and trackside operations such as setup procedures and data analysis
Highly self-motivated, dedicated, creative, result-oriented, and able to work independently with a very high attention to detail
Pragmatic with a distinct scientific approach at the same time
Stress-tolerant, persevering, open-minded, innovative, and a team player
Strong English language skills

Auf diese Stelle bewerben

Werde Teil des Audi F1 Projektes – Gestalte die Zukunft des Motorsports!

Deine Aufgabe

Master’s degree or PhD in Engineering, Physics, Applied Mathematics, or related field
Significant experience (postdoctoral or industrial) developing mathematical models in various areas, where differential equations (ODE, PDE, DAE) form the main component of the models
Experience in Formula 1 or other high-level motorsport series is desirable
Experience coding in C/C++. Knowledge of C#, Python, Matlab/Simulink, and/or Modelica would also be beneficial
Solid understanding of defining and solving models based on systems of differential equations (ODE, PDE, DAE, SDE).
Experience developing simulation software for high fidelity numerical simulations, ideally for lap time optimization and Driver in the Loop simulator
Good understanding of Machine Learning approaches and applications, including regression of parameters; good command of data driven models (response surfaces, neural networks, etc)
Strong understanding of mathematical optimization methods (e.g. gradient based, stochastic methods, etc)
Knowledge of vehicle dynamics, vehicle performance, and trackside operations such as setup procedures and data analysis
Highly self-motivated, dedicated, creative, result-oriented, and able to work independently with a very high attention to detail
Pragmatic with a distinct scientific approach at the same time
Stress-tolerant, persevering, open-minded, innovative, and a team player
Strong English language skills

Dein Profil

Master’s degree or PhD in Engineering, Physics, Applied Mathematics, or related field
Significant experience (postdoctoral or industrial) developing mathematical models in various areas, where differential equations (ODE, PDE, DAE) form the main component of the models
Experience in Formula 1 or other high-level motorsport series is desirable
Experience coding in C/C++. Knowledge of C#, Python, Matlab/Simulink, and/or Modelica would also be beneficial
Solid understanding of defining and solving models based on systems of differential equations (ODE, PDE, DAE, SDE).
Experience developing simulation software for high fidelity numerical simulations, ideally for lap time optimization and Driver in the Loop simulator
Good understanding of Machine Learning approaches and applications, including regression of parameters; good command of data driven models (response surfaces, neural networks, etc)
Strong understanding of mathematical optimization methods (e.g. gradient based, stochastic methods, etc)
Knowledge of vehicle dynamics, vehicle performance, and trackside operations such as setup procedures and data analysis
Highly self-motivated, dedicated, creative, result-oriented, and able to work independently with a very high attention to detail
Pragmatic with a distinct scientific approach at the same time
Stress-tolerant, persevering, open-minded, innovative, and a team player
Strong English language skills

Auf diese Stelle bewerben

Wir freuen uns über Dein Interesse an dem Audi F1 Projekt.
Bitte beachte, dass wir nur Bewerbungen berücksichtigen können, die über unser Online-Stellenportal eingereicht werden.
Nachdem das folgende Formular ausgefüllt wurde, wird unser HR-Team den Eingang der Bewerbungsunterlagen bestätigen.
Sollten Schwierigkeiten beim Hochladen der Dateien entstehen, bitten wir um die Kontaktaufnahme per E-Mail via career@sauber-group.com.