Simulation & Modelling Engineer

Red Bull Racing & Red Bull Technology; Milton Keynes; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology firm in Milton Keynes is seeking a Simulation & Modelling Engineer on a 12-month fixed-term contract. This role focuses on developing models and simulations for dynamic systems and vehicles. Candidates should possess an engineering degree, and experience in real-time simulation and programming in MATLAB, Simulink, Python, or C++. Enjoy benefits such as a bonus scheme, private healthcare, and a competitive salary in a collaborative environment.

Benefits

Bonus scheme

Private healthcare

Pension scheme

On-site gym

Free daily food allowance

Qualifications

• An engineering degree or equivalent, preferably in a relevant field.
• Previous experience in real-time simulation environments.
• Familiarity with hardware integration for simulators.

Responsibilities

• Deliver high-fidelity modelling solutions across a range of applications.
• Enhance advanced simulation methodologies for performance optimization.
• Maintain DIL simulation environments for design support.
• Create analysis tools and lead research in vehicle dynamics.

Skills

Real-time simulation environments

DIL simulators

MATLAB

Simulink

Python

C++

Multi-body simulation tools

Education

Engineering degree in Mechanical Engineering, Physics, Mathematics, or related discipline

Job description

At Red Bull Advanced Technologies, we take the relentless pursuit of performance from the racetrack and apply it to the world’s most challenging engineering problems. From cutting‑edge aerodynamics to high‑performance vehicle design, our expertise in Formula 1 innovation drives breakthroughs across industries. Whether it's revolutionizing mobility, advancing sustainability, or redefining speed, we bring world‑class engineering to the forefront of technological excellence.

Red Bull Advanced Technologies are looking for a Simulation & Modelling Engineer to join us for a 12 Month Fixed‑Term contract to develop and implement models, simulations, and optimisation of a variety of dynamic systems and vehicles across Red Bull Advanced Technologies projects.

Key Responsibilities

• Deliver high‑fidelity modelling solutions across a broad range of vehicle and system applications
• Design, develop, and continuously enhance advanced simulation methodologies to accurately predict and optimise vehicle and system performance
• Develop, maintain, and correlate driver‑in‑the‑loop (DIL) simulation environments to support vehicle design and development activities
• Create robust analysis tools and lead research into advanced vehicle dynamics and data analysis techniques
• Communicate effectively with other groups to provide them with objective, analysis‑based direction and solutions.
• Undertake client liaison, participate in client meetings and provide regular updates on project work and output as required.

Key Competencies

• An engineering degree or equivalent, preferably in Mechanical Engineering, Physics, Mathematics, or a related discipline.
• Previous experience in real‑time simulation environments and familiarity with DIL simulators.
• Familiarity with hardware integration for simulators (motion platforms, steering systems, etc.)
• Proficiency in programming languages such as MATLAB, Simulink, Python, C++, and experience with multi‑body simulation tools.
• Familiarity with human physiology and experience in that field would be a bonus.

At Red Bull Advanced Technologies, we take the winning mindset of Formula 1 and apply it to pioneering cutting‑edge technology across industries. Whether it’s high‑performance automotive, aerospace, or groundbreaking new sectors, we push the limits of engineering excellence. Our success is built on collaboration, trust, and the relentless pursuit of innovation. Alongside a competitive salary, you’ll enjoy:

Benefits

• Bonus scheme
• Private healthcare
• A pension scheme
• On‑site gym
• Free daily food allowance
• And many more!

If you're ready to be part of a team that’s redefining the future, apply now.