Red Bull Powertrains
Simulation Software Engineer Student Placement (Powertrains)
Full-time
Student
UK
The Company
The Role
Red Bull Powertrains are offering multiple year-long placement opportunities within our Engineering Tools & Methods. In these hands-on roles you will be emersed into the heart of our state-of-the-art Technical and Manufacturing facilities where we drive engineering and innovation to the limit to develop cutting-edge Formula 1 power units. Pushing boundaries is in our DNA!
The Engineering Tools & Methods team plays a crucial role in driving engineering performance at Red Bull Powertrains. By supporting all technical and manufacturing departments, they develop and implement best practices that streamline processes, improve efficiency, and enhance collaboration. This team is fundamental to ensuring we operate at the highest level, supporting our mission to be the best team on the grid.
The Role
Roles & Responsibilites
Develop pre- and post-processing software tools used within the simulation teams.
Develop process workflows to ensure FEA and CFD simulations run efficiently and consistently.
Work closely with simulation engineers to deliver accurate results, report automation, and job monitoring.
Investigate and deliver workflows for new simulation techniques, including AI and improved physics models.
Maintain a clean code base including standard branching strategies and CI/CD pipelines.
Collaborating closely with all the technical teams to deliver world-class engineering solutions
Gaining direct exposure to the 2027 Formula 1 season and contributing to the future of Red Bull Powertrains
Roles & Responsibilities
Qualifications & Experience
What We're Looking For
We’re looking for passionate, curious, and driven undergraduates who are eager to push the limits of engineering innovation in a fast paced, high-performance environment. If you're ready to take on real responsibility, solve real-world engineering challenges and contribute to the future of Red Bull Racing’s success on track, this is your opportunity.
Expected knowledge, experience & attributes of the successful candidates:
Knowledge and experience from at least one year of undergraduate study on either an engineering, mathematics or physics degree course
A solid understanding of engineering principles and the ability to apply mathematical methods to solve real-world problems
Familiarity with engineering software such as CAD, FEA, CFD
Experience with Python, C++, MATLAB of other similar programming languages
Familiar using Linux and command line applications
Ability to follow best practice and work on multiple tasks simultaneously
Excellent communication skills and experience working in a team environment
Ability to break complex technical problems down to fundamental principles and understand the contributing physics
Ability to demonstrate a genuine passion for engineering through involvement in extra-curricular projects, previous placements, or work experience