Motorsports-rooted engineering and product development for defense and commercial platforms
Pratt Miller combines motorsports-grade engineering with CAD/CAM and simulation tools (Creo, NX, CATIA, ANSYS, Simulink) to develop electrical/hybrid vehicle architectures, aerodynamic systems, and unmanned platforms. The hiring profile—37 engineers across senior and lead roles, plus active Chief Engineer and Project Lead searches—reflects an engineering-heavy org scaling capacity for complex, multi-disciplinary programs. Pain points around integrating disparate technologies and managing technical risk suggest they're handling systems-level integration challenges across mechanical, electrical, and software domains.
Notable leadership hires: Chief Engineer, Project Lead, Finance Director
Pratt Miller is an engineering and product development firm based in New Hudson, Michigan, serving defense, commercial automotive, and advanced vehicle segments. The company operates across mechanical design (CAD, FEA, machining), electrical systems (KiCAD, Eagle, Vector CAN tools), embedded controls (C/C++, MATLAB, Simulink), and physical testing (wind tunnel, track validation). Active projects span electrical and hybrid vehicle architecture, aerodynamic development, unmanned platforms, and on-track performance verification. The company employs 201–500 people, with the majority in engineering roles.
Pratt Miller's stack includes Creo, NX, CATIA, and Solidworks for CAD; ANSYS and Hypermesh for FEA; and Simulink, MATLAB, and dSPACE for embedded controls and real-time simulation. They also use Mastercam for machining and Vector CANalyzer/CANoe for automotive network analysis.
Active projects include electrical and hybrid vehicle technical architecture development, aerodynamic development and wind tunnel testing programs, unmanned vehicle platforms, on-track performance verification, and system partitioning for multi-domain integration.
Pratt Miller'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.