Systems Engineering Internship: Power Unit & F1

Red Bull Technology Group

Milton Keynes

On-site

GBP 18,000 - 23,000

Full time

4 days ago
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Benefits offered by this job

Bonus scheme
Private healthcare
Pension scheme
On-site gym
Free daily food
And many more

Job summary

Red Bull Powertrains is offering a year-long placement within our Systems Engineering teams in Milton Keynes. You will gain hands-on experience across embedded control, calibration, data analysis, and validation while contributing to the 2027 Power Unit programme.

Ideal candidates are undergraduates in engineering, maths, or physics with programming knowledge in Python, MATLAB/Simulink and C/C++. The role involves multi-discipline collaboration and delivering engineering solutions in a

Qualifications

  • Knowledge of Python, R, MATLAB, Simulink for system development and modelling.
  • Experience in programming in C or C++ (preferred).
  • Knowledge from at least one year of undergraduate study in engineering/math/physics.

Responsibilities

  • Contribute to embedded control, calibration, and application process for engines and power units throughout development and on-track deployment.
  • Develop and test embedded software strategies for PU control and performance.
  • Apply engineering principles to understand system interactions for reliability and performance.
  • Build and validate numerical methods for calibration and analysis to maximise performance.

Skills

Python
R
MATLAB
Simulink
C/C++
Data analysis
Technical reporting
Team collaboration
Problem solving

Education

Undergraduate engineering/math/physics degree

Job description

Red Bull Powertrains is offering a year-long placement within our Systems Engineering teams in Milton Keynes. You will gain hands-on experience across embedded control, calibration, data analysis, and validation while contributing to the 2027 Power Unit programme.

Ideal candidates are undergraduates in engineering, maths, or physics with programming knowledge in Python, MATLAB/Simulink and C/C++. The role involves multi-discipline collaboration and delivering engineering solutions in a

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