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Systems Engineering Student Placement (Powertrains)
Red Bull Powertrains
Milton Keynes, GBR
Full Time, Internship, Temporary
Entry · 1+ years experience
Onsite
Discovered 1 weeks ago
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Your responsibilities will include
- Contribute to all stages of the embedded control, calibration, and application process of optimising single cylinder and multi cylinder engines as well as hybrid power units - from controls strategy, embedded software validation, engine calibration and testing, to on track deployment of the 2027 Power Unit • Work within a team of engineers to define and develop and test embedded software strategies for PU control and performance optimisation • Applying engineering principles to understand the systems level interactions of the Power Unit to deliver on track reliability and performance • Building and validating numerical methods for calibration and application analysis to maximise performance and reliability • Interpreting and reporting data through technical documentation and presenting insights to both technical and non-technical stakeholders • 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
- 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 • Knowledge of Python, R, MATLAB, Simulink for system development and modelling • Experience in programming in C or C++(preferred) • Experience with handling and analysing data from simulations or physical tests, and confidence in preparing high-quality technical documentation • 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 • Positive, can-do, attitude and willingness to learn new skills • Ability to follow best practice and work on multiple tasks simultaneously • Excellent communication skills and experience working in a team environment
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