Formula 1 team building cars, software, and fan experiences
McLaren Racing operates as a vertically integrated motorsport organization combining mechanical engineering, embedded systems, and digital infrastructure. The tech stack reveals dual operating modes: traditional CAD/CAM/simulation tools (MATLAB, Simulink, Dassault Systèmes, dSpace) for car performance optimization, paired with cloud-native infrastructure (Python, TypeScript, Docker, Kubernetes, MongoDB) for race operations and fan platforms. Hiring velocity is accelerating across engineering and marketing, with active recruitment in manufacturing and data roles—indicating simultaneous investment in competitive performance, operational efficiency, and commercial growth.
McLaren Racing, founded in 1963, competes across four racing series: the FIA Formula 1 World Championship, NTT INDYCAR SERIES, F1 Academy, and F1 Sim Racing Championship. The organization has won 23 Formula 1 world championships, over 200 Formula 1 Grands Prix, three Indianapolis 500 titles, and the Le Mans 24 Hours. Based in Woking, United Kingdom, with 1,001–5,000 employees, the team operates manufacturing, engineering, and commercial functions in-house. Current focus areas include new race car development, real-time race weekend coverage systems, fan engagement platforms, data centralization initiatives, and sustainability commitments aligned with the UN Sports for Climate Action framework and a net-zero 2040 target.
Engineering and simulation: MATLAB, Simulink, dSpace, Dassault Systèmes, C++. Manufacturing: CNC, Fanuc, Edgecam, Beckhoff TwinCAT. Operations and platforms: Python, TypeScript, Docker, Kubernetes, MongoDB, SQL, Salesforce.
New race car builds, data centralization platform, real-time race weekend coverage systems, process automation workflows, fan engagement programmes, manufacturing sustainability enhancements, and product development process improvements.
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