Engineering, test and production support for U.S. Navy shipbuilding
R&P supports Navy shipbuilding programs from design through test, activation and post-delivery, and its stack shows it: industrial control tooling (Allen-Bradley ControlLogix, FactoryTalk View, Ignition, Wonderware) sits beside MATLAB/Simulink and Teamcenter, with Azure Government Cloud for regulated workloads. Hiring is overwhelmingly engineering and senior-weighted, aligned with frigate construction and shipboard combat-systems integration work.
Reliability & Performance Technologies (R&P) is a privately held defense services firm headquartered in Dublin, Pennsylvania, founded in 2001 and employing 201–500 people. It works with U.S. Navy shipbuilding program offices across program management, ship design, production support, cyber risk management, logistics, financial management and configuration management. Field capabilities include test and evaluation, HM&E and mission systems activation, ship installations, fiber optic repair, structural composites and maintenance and repair. Hiring is concentrated in the United States.
R&P uses MATLAB, Simulink, Teamcenter, AutoCAD, Rhino and ETAP for engineering, Allen-Bradley, Siemens, Ignition and Wonderware for controls, plus Unanet, Power BI, AWS and Azure Government Cloud.
Yes. Engineering dominates R&P's open roles, skewed toward senior talent, with smaller openings in ops, finance, logistics, security and support, all in the United States.
Job posts point to support for constructing the Navy's newest frigate class, shipboard communication and combat systems integration, post-installation verification testing and composite repair on Navy ships.
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Reliability & Performance Technologies ( R&P )'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.