Hands-on Simulation Software Engineer Placement – F1 Tech

Motorsport Network, LLC; Milton Keynes; On-site; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Bonus scheme

Private healthcare

A pension scheme

On-site gym

Free daily food allowance

Job summary

Red Bull Powertrains offers multiple year-long placements within Engineering Tools & Methods. You will work in state-of-the-art Technical and Manufacturing facilities, supporting engineering performance across departments and developing best practices for efficient workflows.

Ideal candidates are undergraduates with at least one year of study in engineering, mathematics, or physics, familiar with CAD/FEA/CFD, and proficient in Python, C++, and MATLAB.

Qualifications

• Knowledge of engineering principles and ability to apply mathematical methods
• Familiar with CAD, FEA and CFD software
• Experience with Python, C++, MATLAB or similar languages
• Familiar with Linux and command-line interfaces
• Strong communication and teamwork skills
• Ability to break complex problems into fundamental principles
• Demonstrated passion for engineering through projects or placements

Responsibilities

• Develop pre- and post-processing software tools for simulation teams
• Create workflows to run FEA/CFD simulations efficiently
• Collaborate with simulation engineers to deliver results and automate reports
• Explore workflows for new simulation techniques including AI and improved physics models
• Maintain clean codebase with CI/CD pipelines
• Collaborate with technical teams to deliver engineering solutions
• Gain exposure to the 2027 Formula 1 season and contribute to Red Bull Powertrains' future

Skills

Engineering problem solving

Communication

Team collaboration

Mathematics/physics background

Programming fundamentals

Education

Year-long undergraduate project/degree (Engineering/Math/Physics)

Tools

CAD

FEA

CFD

Python

C++

MATLAB

Linux

Job description

Red Bull Powertrains offers multiple year-long placements within Engineering Tools & Methods. You will work in state-of-the-art Technical and Manufacturing facilities, supporting engineering performance across departments and developing best practices for efficient workflows.

Ideal candidates are undergraduates with at least one year of study in engineering, mathematics, or physics, familiar with CAD/FEA/CFD, and proficient in Python, C++, and MATLAB.