Specialty rubber and composite manufacturer serving defense and aerospace
R.E. Darling manufactures specialty rubber and composite products for defense and space applications from its Tucson facility. The company is actively scaling manufacturing capacity (9 open roles) while simultaneously implementing CMMC Level 2 compliance and modernizing infrastructure—a dual focus on production growth and supply-chain security that reflects both customer demand and tightening regulatory requirements in the defense industrial base.
Founded in 1948, R.E. Darling is a privately held manufacturer of specialty rubber and composite products, including communication cables and oxygen breathing hose for defense and aerospace customers. The company operates from Tucson, Arizona, and employs 51–200 people across manufacturing, engineering, operations, and quality functions. Current operational priorities include improving manufacturing efficiency, upgrading site utilities, resolving production problems, and achieving CMMC Level 2 compliance—a requirement for defense contractors. The organization is in hiring-acceleration mode, with 20 active roles and 11 posted in the last 30 days, concentrated in manufacturing and engineering.
Primary tools: Microsoft Project, Visio, Adobe Acrobat, SOLIDWORKS (CAD), Azure AD, and Exchange. Currently adopting CMMS (Computerized Maintenance Management System) for maintenance operations.
Core projects: CMMC Level 2 compliance, NIST SP 800-171 controls implementation, site utilities upgrade, and manufacturing process improvements for rubber molding, bonding, and extrusion operations.
Other companies in the same industry, closest in size
R.E. Darling Company Inc.'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.