MPR Associates is a specialty engineering firm founded by nuclear propulsion veterans in 1964, now applying deep technical expertise across power, nuclear, and federal markets. The tech stack reveals a dual-track operation: classical simulation and analysis tools (ANSYS, MATLAB Simulink, SAP2000, ETABS, SolidWorks) for infrastructure design, paired with modern cloud infrastructure (AWS, Docker, FastAPI) and emerging AI capabilities (Bedrock, RAG adoption). Engineering comprises 80% of active hiring, with a mid-level-heavy distribution, suggesting execution focus on complex technical projects rather than team-building phases.
MPR Associates delivers engineering and management services across Power & Energy, Nuclear Technologies, Transmission & Distribution, Health & Life Sciences, and Federal sectors. The firm employs approximately 250 engineers and specialists who work across multiple markets, with explicit focus on thermal-hydraulic, structural, and electrical analysis for nuclear plants, along with product development including PCB design and software development. Current priorities include networked control system upgrades, document analysis tools, and mission-critical energy sector applications. The company operates from Alexandria, VA, and is actively hiring across the United States, with particular emphasis on engineering roles.
MPR uses ANSYS, MATLAB Simulink, SolidWorks, and SAP2000 for engineering analysis; Python, C++, and Java for development; AWS services (Lambda, ECS, Bedrock) for cloud infrastructure; and React for front-end work. They are actively adopting RAG for document and data processing.
Core projects include thermal-hydraulic and structural analysis for nuclear plants, PCB design and software development, networked control system upgrades, data analytics for automation and machine learning, and document analysis and verification tools for regulatory compliance in the nuclear and energy sectors.
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MPR Associates, 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.