Formula 1 constructor and powertrain manufacturer with integrated design and manufacturing ops
Red Bull Racing operates a vertically integrated motorsports engineering and manufacturing business spanning chassis design, powertrain development, and component fabrication. The tech stack reflects a hybrid industrial-software operation: CAD/PLM (Siemens NX, Teamcenter), simulation (Dymola, Modelica), ERP (SAP, Epicor), and BI tooling (Power BI, Power Query) sit alongside modern software (C#, TypeScript, .NET, Kubernetes). Current hiring velocity is accelerating across engineering (14 open roles) and manufacturing (6), with mid- and senior-level positions dominating — a pattern consistent with scaling production for the 2026 power-unit development cycle and managing cost-cap compliance constraints.
Red Bull Racing is a Formula 1 constructor and powertrain manufacturer based in Milton Keynes, United Kingdom. The organization operates 201–500 employees across integrated engineering, design, manufacturing, and operations teams. As a six-time Formula 1 Constructors' Champion with 122 race wins, 282 podiums, and 103 pole positions, the team manages complex multi-disciplinary projects spanning chassis design, power-unit development, test-rig fabrication, and regulatory compliance. Active workstreams include 2026 power-unit development, subsystem test infrastructure, cost-cap performance tracking, and thermal modeling. The company is privately held and founded in 2005.
Siemens NX, Teamcenter, and Dymola/Modelica for design and simulation; SAP and Epicor for operations; Power BI and Power Query for analytics; Kubernetes and .NET for software infrastructure.
Primary projects include 2026 Formula 1 power-unit development, subsystem test rigs, chassis cost-cap compliance, cooling-system modeling, and power-unit component manufacturing tooling design.
Red Bull Racing & Red Bull Technology's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.