Defense digital engineering, simulation, and mission software contractor
NextGen Federal Systems builds mission software and simulation environments for defense and intelligence programs. Its stack pairs modeling tools (Cameo Systems Modeler, STK, Cesium, ANSYS Fluent, MATLAB) with virtual desktop infrastructure (Azure Virtual Desktop, AWS WorkSpaces, VMware Horizon), and accelerating, senior-heavy engineering hiring centers on live-virtual-constructive (LVC) simulation architecture and HLA/DIS interoperability.
NextGen Federal Systems is a privately held technology contractor founded in 2011 and headquartered in Morgantown, West Virginia, with 201–500 employees. It supports defense, intelligence, and commercial customers through a mix of services and solution development. Core capabilities span modern software engineering, AI/ML, digital engineering, modeling and simulation, geospatial systems, and complex mission support. The company holds ISO 9001 certification and CMMI-DEV and CMMI-SVC Level 3 appraisals, and operates offices in Aberdeen, MD; Dayton, OH; O'Fallon, IL; and Morgantown, WV.
NextGen uses AWS, Azure Virtual Desktop, VMware Horizon, Kubernetes, Docker, Python, Java, Spring Boot, React, Angular, and C++, plus simulation and geospatial tools like STK, Cesium, ArcGIS, and Cameo Systems Modeler.
Yes. Hiring is accelerating and overwhelmingly engineering-focused, weighted toward senior and principal talent, with a small operations component. All roles are in the United States.
Current work includes LVC simulation ecosystem architecture, digital thread integration, automated scenario generation workflows, integrated MS&A workflows, and software for DoD mission-critical programs of record.
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NextGen Federal Systems'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.