ZF is a 153,000-person automotive supplier manufacturing electrified drivetrains, motion-control systems, and safety platforms across passenger vehicles, commercial trucks, and industrial machinery. The hiring surge (112 roles in 30 days) centers on engineering and logistics automation, while projects focus on digitalization—cost engineering, scheduling, preventive maintenance—and the tech stack reveals heavy CAD/simulation investment (CATIA, CREO, ANSYS, MATLAB) paired with supply-chain planning tools (Kinaxis, Anacraft) and cloud infrastructure (AWS). This shape signals a company scaling both product complexity (e-mobility, autonomous-driving readiness) and operational efficiency in a capital-intensive, multi-geography footprint.
Notable leadership hires: EHS Lead, Income Tax Director
ZF supplies powertrain, chassis, and safety systems to automotive OEMs and industrial equipment makers globally. The company operates 162 production locations across 29 countries and reported €38.8 billion in sales in fiscal 2025. Core offerings include electric drivetrains, integrated safety features, automated-driving components, and digitalization services. Beyond automotive, ZF serves construction, agricultural, wind, marine, and rail segments. Product scope spans passenger cars and commercial vehicles down to transmission and motor-control components, with an aftermarket business for parts replenishment and lifecycle management.
ZF's engineering stack includes CATIA, CREO, and SolidWorks for mechanical design; ANSYS Maxwell, Motor-CAD, Flux, and MATLAB/Simulink for electromagnetic and powertrain modeling; and Fanuc and KUKA for manufacturing automation.
Active projects include automation of logistics processes, digitalization of cost engineering and reporting, continuous-improvement initiatives in scheduling and material flow, preventive maintenance programs, and supply-chain continuity measures to address inventory and production-delay challenges.
Other companies in the same industry, closest in size
ZF Group'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.