Reliability & Performance Technologies ( R&P ) Tech Stack

Naval engineering and shipbuilding program support for U.S. Navy construction and maintenance

Defense and Space Manufacturing Dublin, Pennsylvania 201–500 employees Founded 2001 Privately Held

R&P serves as a deep technical partner embedded across U.S. Navy shipbuilding programs, spanning design, production, testing, and fleet introduction. The company is executing a Java 8-to-17 migration while maintaining legacy codebases, and hiring is heavily weighted toward engineering (34 of 44 open roles)—a signal they are scaling delivery capacity on active construction programs rather than expanding into new verticals. The stack (MATLAB, Simulink, AutoCAD, Ignition, ERP systems) reflects domain-specific manufacturing and controls engineering, not horizontal software scaling.

Tech Stack 31 technologies

Core StackJava MATLAB Visual Studio SonarQube Power BI Power Apps AutoCAD AWS JavaScript Archibus Simulink Simulink Coder Allen-Bradley ControlLogix Allen-Bradley CompactLogix FactoryTalk View Ignition Wonderware Microsoft Project Adobe Acrobat Embedded Linux ERP TeamCity Business Objects Microsoft Access Visual Basic for Applications Haystack Rhino ETAP Azure Government cloud HTML/CSS

AdoptingMicrosoft Project Adobe Acrobat

What Reliability & Performance Technologies ( R&P ) Is Building

◆Challenges

Budgeting shipbuilding program
High risk safety compliance
Security clearance requirement
Optimizing workspace utilization
Flexible scheduling due to navy movement
Maintaining legacy java codebases
Java 8 to 17 migration
Expanding navy services portfolio
Penetrating new navy markets
Capturing new federal agencies

▲Active Projects

Composite lamination and ram installation on us navy ships
Shipbuilding program financial management
Space transition planning
Reorganization and consolidation strategy
Machinery control systems development
On-board training software development
Java 8 to 17 migration
Newest class of frigate construction
Proposal development for rfps
Technical solution development for ans

Hiring Activity

Accelerating45 roles · 35 in 30d

Department

Engineering

Ops

Finance

Operations

Sales

Security

Seniority

Senior

Mid

Junior

Manager

Notable leadership hires: Chief of Staff

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About Reliability & Performance Technologies ( R&P )

Reliability & Performance Technologies provides program management, engineering design, production support, and lifecycle services across U.S. Navy shipbuilding and maintenance. Operating since 2001 with over 340 employees, R&P is headquartered in Dublin, Pennsylvania. The company's scope spans ship design and systems engineering, waterfront production support, machinery control systems, test and evaluation, logistics, and post-delivery maintenance. R&P engages with most active U.S. Navy shipbuilding program offices, from frigate and destroyer construction to on-board training systems and composite repair work.

HeadquartersDublin, Pennsylvania

Company Size201–500 employees

Founded2001

Hiring MarketsUnited States

Frequently Asked Questions

What is Reliability & Performance Technologies' core business?

R&P provides engineering, program management, production support, and lifecycle services to U.S. Navy shipbuilding programs. Scope includes ship design, construction support, testing, machinery control systems, and maintenance.

What tech does Reliability & Performance Technologies use?

Engineering: MATLAB, Simulink, AutoCAD, Rhino. Controls: Allen-Bradley ControlLogix/CompactLogix, Ignition, Wonderware. Systems: Java, Embedded Linux, AWS, Azure Government. Adopting Microsoft Project and Adobe Acrobat.

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How this profile is built

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.