Product Validation Engineer

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

Job summary

A leading motorsport technology firm in Milton Keynes is seeking a Product Validation Engineer to join their technical team. This role focuses on defining validation strategies for F1 Power Units, utilizing data analysis and statistical methods. Candidates should have a degree in engineering, experience with data tools like Python or MATLAB, and a passion for Formula One. The position offers competitive bonuses, private healthcare, and an on-site gym, supporting a high-performance work culture.

Benefits

Bonuses

Private healthcare

Pension scheme

On-site gym

Free daily food allowance

Qualifications

• Degree in engineering or related field with at least a 2:1.
• Experience in data analysis and machine learning is desirable.
• Ability to work under pressure in a fast-paced racing environment.

Responsibilities

• Define and implement the product validation strategy for all PU configurations.
• Develop methodology to monitor and assess PU operation at the track.
• Provide product validation support for test and race events.

Skills

Data analysis

Statistical modelling

Machine learning

Python

MATLAB

Education

Degree in engineering or related field with 2:1 minimum

Job description

Red Bull Powertrains has an exciting opportunity as a Product Validation Engineer to join our technical team as we transition from building our team's first Power Units to refining them into a race‑ready package, all aimed at delivering the most competitive car on the 2026 Formula One grid. As an F1 Power Unit Product Validation Engineer, you will be responsible for defining the predicted duty requirements of the F1 Power Unit and for developing the methodology to prove and track those requirements in dynamometer testing and on the racetrack. You will define the envelope in which the PU can operate at the racetrack to ensure reliability while maximising its performance potential.

Responsibilities

• Define and implement the product validation strategy for all PU configurations across the F1 season and in the long‑term programme.
• Define validation objectives, test content, expected outcome to validate PU performance, durability, and integration.
• Define duty cycles, instrumentation requirements, and durability test profiles based on validation needs and the requirements of the race season.
• Develop methodology to monitor and assess PU operation at the track – correlating back to durability testing and lap simulation predictions.
• Provide product validation support for test and race events where required from the Remote Ops Room.

Qualifications

• A degree with a 2:1 minimum in an engineering subject or related field.
• Experience in data analysis, statistical modelling, and machine learning desirable.
• Experience working with large datasets and utilising data analysis tools such as Python, MATLAB, or similar.
• Familiarity with power unit systems, engine and ERS durability metrics, and Formula One racing rules and regulations.
• Excellent problem‑solving skills and ability to derive actionable insights from complex data.
• Strong attention to detail and ability to work under pressure in a fast‑paced racing environment.
• Effective communication and presentation skills, with the ability to convey technical information to both technical and non‑technical stakeholders.
• Passion for motorsports, Formula One racing, and a deep interest in power unit technology.

What We Offer

• Bonuses
• Private healthcare
• A pension scheme
• On‑site gym
• Free daily food allowance
• Many more!

If you're driven to win, thrive in a fast‑paced environment, and want to help define the future of data‑driven performance in Formula One, this is your chance.

At Red Bull Powertrains, we push the limits, fight for every victory, and get things done with relentless focus. Joining us means being part of a high‑performance team that thrives on collaboration, trust, and ambition. We celebrate wins, learn from challenges, and take our work seriously – but not ourselves.