Control Systems Simulation Engineer

Brackley, United Kingdom

At the Mercedes-AMG Petronas Formula One Team, a group of passionate and determined people work to design, develop, manufacture and race the cars with the aim of fighting for world championships each and every year.

Whether working in our Operations, Technical, Race or Business Support functions, we are all in and aspire to build the greatest team in the history of our sport.

Every individual plays their part. No stone is left unturned in the chase for every tenth of a second. The history of our sport is long and rich and we are continuing our journey with renewed effort year on year. Record books remember the names of a few, but history is written by the many.

About the Role:

We are thrilled to offer an exciting opportunity to be part of the Performance Department at Mercedes-Benz Grand Prix. As a key member of the Controls group, you will leverage cutting-edge simulations to explore and enhance control system performance, directly contributing to the success of our race cars.

Key Accountabilities (Duties):

Developing innovative control algorithms to tackle complex engineering challenges.

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Creating and maintaining simulation models to assess and optimize control system performance.

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Validating simulation results by ensuring accuracy and correlation with track and rig data.

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Utilizing optimization techniques to support calibration and fine-tuning of systems.

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Introducing new technologies, ideas, and methodologies to continuously advance our control system simulation capabilities.

Candidate Profile

Essential:

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A Master's or PhD from a top-tier university in fields such as Mechanical Engineering, Aerospace Engineering, Control Engineering, or a related discipline.

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Advanced proficiency in MATLAB, Simulink, and Stateflow, with strong expertise in model-based design.

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A solid foundation in numerical methods, classical mechanics, and multi-body dynamics.

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Strong knowledge of state-space methods, modern control/estimation theory, and numerical techniques.

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A methodical, data-driven approach to problem-solving, using a range of tools and data sources.

This role is ideal for professionals with significant experience in high-performance industries, eager to take their expertise to the next level.

Desirable:

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Hands-on experience with real-time control system platforms (e.g., dSPACE, Beckhoff, Speedgoat).

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Proficiency with multi-body engineering tools such as Modelica and SimScape.

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In-depth knowledge of transmissions, vehicle dynamics, and power units.

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Familiarity with non-linear programming techniques and optimal control.

Why You’ll Love Working Here

While a passion for motorsport is a plus, what we truly value is your potential to excel in the role and drive innovation in our team. If you are excited by the opportunity to apply your skills in a fast-paced and challenging environment, we encourage you to apply.

Benefits:

Our riverside campus is powered by 100% renewably sourced energy and features an on-site gym and exercise studio, subsidised restaurant and on-site parking with EV chargers available.

We offer a competitive and attractive package of benefits including a generous bonus scheme, Mercedes car lease scheme, private medical cover, life assurance and 25 days holiday. We pride ourselves on our family-friendly environment and employee well-being programme.

Why us:

At the heart of our performance are our people. Every member of our team has a voice and plays their part in contributing to our successes on and off the racetrack. We take pride in creating an innovative, collaborative and high-performance culture where all of our team members are respected, empowered and valued.

Through our Accelerate 25 programme, we are continuously working to make our team even more diverse and inclusive. Whatever your background, we believe that you will find working with us rewarding and enriching.

Your application:

We will ask you to complete a questionnaire as well as submitting a cover letter and CV. Please upload your cover letter with your CV as one PDF document