Rapid-turn composite parts and tooling manufacturer with in-house software
Layup Parts is a Huntington Beach composites manufacturer building its own software layer to compress lead times from months to days. The stack pairs CAD/CAM tools (NX, CATIA, Mastercam, HyperMILL) and PLC platforms (Beckhoff, Allen-Bradley, Fanuc) with Rust, Go, React and TypeScript, which points to a factory operating system and customer portal built in-house. Hiring is accelerating, split almost evenly between engineering and shop-floor manufacturing.
Layup Parts manufactures composite parts along with the molds and tooling used to produce them. Founded in 2024 and privately held, the company is headquartered in Huntington Beach, California, and employs 51–200 people. Its operating model centers on speed, aiming to deliver parts to customers far faster than conventional composite suppliers. Engineering work spans mechanical design, electrical systems for manufacturing equipment, robotics and software, supported by NetSuite for business operations and Jira for project tracking. Hiring is concentrated in the United States.
Layup Parts uses NX/Siemens NX, SolidWorks, CATIA and Fusion for design, Mastercam and HyperMILL for machining, and Polyworks for metrology, alongside Beckhoff, Allen-Bradley and Fanuc automation hardware.
Projects include a factory operating system, a customer portal, 3D geometry software for composite parts, ply kit generation from customer designs, and automated equipment for high-volume production tasks.
Yes. Hiring is accelerating and led by engineering and manufacturing roles, mostly mid and senior level, all based in the United States near its Huntington Beach, California headquarters.
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Layup Parts'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.