Job description
At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching... And measure your progress in milliseconds... And play your part in racing history... You belong here. High performance starts with you.
Purpose of the Role:
To design and maintain algorithms to interrogate our vehicle models. To model dynamic systems to accurately represent vehicle performance. To develop innovative, cutting edge simulation tools to support the wider Engineering team. To provide technical assistance to the broader Team, ensuring seamless operation of simulation tools. To contribute to the development of a world class simulation toolchain and analysis techniques.
Role Dimensions:
This role sits in the Simulation Engineering Group, within Vehicle Performance. The role is principally concerned with the development of industry-leading simulation tools and methodologies for use in the optimisation and development of vehicle performance. The role provides mentoring and support for junior staff. The role may involve in-event remote support for the trackside simulation toolchain.
The role reports directly to the Head of Simulation Engineering.
Principal Accountabilities:
To model and simulate dynamic systems. To identify actionable simulation development opportunities. To develop new methodologies from conceptualisation to deployment and to support their use. To report on simulation performance and benchmarking studies. To generate clear and well-documented code. To provide technical assistance to the broader team. To produce insightful, high-quality analysis in challenging timeframes. To innovate, proposing and developing new ideas & concepts.
Job requirements
Knowledge, Skills and Experience:
Required:
Master’s degree (PhD preferred) or equivalent in Engineering, Physics or Applied Mathematics. Proficiency in MATLAB, C++ and Python. Strong experience with numerical methods, modelling and simulation techniques. Excellent technical and mathematical skills. Expertise in dynamical systems analysis and control. Competent user of version control & efficiency tools. Ability to deliver complex information in audience-appropriate oral or written style.
Preferred:
Previous experience in a vehicle performance-focused role in high-level motorsport. Broad awareness of vehicle dynamics & global performance sensitivities in an F1 setting. Data science and machine learning competency. Experience of ATLAS or similar time-series data analysis tools.
Personal Attributes:
Strongly motivated to drive performance. Committed to personal development. Able to integrate quickly into the team, working effectively with others. Self-motivated and able to work with minimal direction. Strong organisational, communications and problem-solving skills. Works calmly and effectively under pressure. Highly attentive to detail with an unbiased, data-driven, objective approach. A team player with a positive outlook and a ‘can do’ attitude. A problem-solving innovator.
What McLaren can offer?
We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part.
We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.
McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride.
We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
