Simulation Development Engineer – Optimization Methods

JR United Kingdom; Newcastle upon Tyne; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company is seeking a Simulation Development Engineer to join their Audi F1 project. This role focuses on developing advanced vehicle simulation and optimization methods to enhance performance in Formula 1. Ideal candidates will have a strong engineering background and experience in relevant technologies, alongside proficiency in Matlab, Python, or C++. Join the team to contribute to the innovative world of motorsport.

Qualifications

• Experience in numerical optimization, optimal control, or model predictive control.
• Knowledge of linear algebra, calculus, dynamical systems, and differential equations.

Responsibilities

• Develop complete vehicle simulation for lap time performance and energy management optimization.
• Research and implement advanced numerical methods.
• Collaborate with engineers from model and software development teams.

Skills

Numerical optimization

Analytical skills

Teamwork

Independent working

Education

Doctoral/Master’s degree in engineering, mathematics, computer science

Tools

Matlab

Python

C++

Job description

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Simulation Development Engineer – Optimization Methods, Newcastle-upon-Tyne, Tyne and Wear

Client:

Location:

Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

Our Team: 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: the Motorsport Competence Center of Audi in Neuburg (Germany), the Sauber Group's Formula 1 factory in Hinwil (Switzerland), and the Sauber Motorsport Technical Center in the UK. Our Power Unit is developed in Neuburg, while Hinwil focuses on chassis and race operations.

We are looking for a development engineer for powertrain simulation to contribute significantly to the project, focusing on maximizing the performance of hybrid drivetrains in Formula 1.

This position is based at Audi Formula Racing GmbH in Neuburg, Germany, starting January 1, 2026.

Your Mission:

• Develop state-of-the-art complete vehicle simulation for lap time performance and energy management optimization.
• Improve the simulation/optimization framework by implementing user requirements and integrating high-fidelity models.
• Identify and implement measures to improve convergence and robustness.
• Research and implement advanced numerical methods.
• Support concept analysis and system design decisions for the F1 2026 PU regulations.
• Collaborate with engineers from model and software development teams.

Your Profile:

• Doctoral/Master’s degree in engineering, mathematics, computer science, or similar.
• Experience in numerical optimization, optimal control, or model predictive control.
• Knowledge of linear algebra, calculus, dynamical systems, and differential equations.
• Experience in lap time simulation and vehicle modeling.
• Proficiency in Matlab, Python, or C++.
• Knowledge of software development workflows and version control systems is a plus.
• Strong analytical and independent working skills, with the ability to work in a team.
• Proficiency in German or English, with willingness to learn the other language.

About us: We are an equal opportunity employer, celebrating diversity and committed to an inclusive environment for all employees, including those with disabilities. We look forward to your application and the possibility of you joining our team in pursuit of excellence in Formula 1.