Engineering, test and acquisition support for DoD weapon programs
DCS Corp is an employee-owned defense contractor supporting national security agencies with systems engineering, weapon test and evaluation, and acquisition management. Its stack pairs real-time embedded tooling (VxWorks, RTI DDS, C++) and model-based engineering (MagicDraw, IBM DOORS, DoDAF) with DoD security tooling like ACAS. Hiring is accelerating and skews heavily toward senior engineers, pointing to cleared, experienced program staffing.
Notable leadership hires: Chief Engineer
DCS Corp provides technology and management services to U.S. government agencies in the national security sector. Founded in 1977 and headquartered in Alexandria, VA, the privately held company employs between 1,001 and 5,000 people. Its work spans cybersecurity, systems integration, software and systems engineering, modeling and simulation, weapon system test and evaluation, and acquisition and program management. Current programs include electronic warfare support for naval customers, Army weapon system acquisition, and aircraft block upgrades.
DCS Corp uses MATLAB, Simulink, C++, C#, Java, Python, Rust, VxWorks, RTI DDS, IBM DOORS, MagicDraw, Docker, Kubernetes, Jenkins, Snyk, VMware and ACAS, among others.
Yes. Hiring is accelerating and dominated by engineering, with a strong tilt toward senior-level roles, plus openings in ops, security, support and finance. A Chief Engineer role is among notable leadership openings.
Projects include electronic warfare and spectrum operations support at NSWCDD, Army weapon system acquisition, F-18 block upgrades, ESS portfolio modernization, and test and evaluation strategy development.
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DCS Corp'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.