Defense modeling, simulation, and test & evaluation for naval and border systems
SimIS is a veteran-owned defense contractor whose job posts center on operational test and evaluation of US Navy undersea warfare systems, combat system simulation, and field testing of border security technologies. Hiring is accelerating and skews heavily toward senior engineers. The stack mixes C++, C#/.NET, and Java with SAS, SPSS, Stata, and Spark, pointing to simulation software paired with heavy statistical analysis of test data.
Notable leadership hires: Test Director, Project Lead, Technology Assessment Lead
SimIS Inc. is a privately held, veteran-owned small business founded in 2007 and headquartered in Portsmouth, Virginia. The company provides information technology services to government clients, covering modeling and simulation, information security, enterprise architecture, and software and app development. Current work spans naval combat and training simulation systems, operational test and evaluation, NATO capability requirements development, and border security technology testing. The company employs 51–200 people and hires in the United States.
SimIS provides modeling, simulation, cybersecurity, and test and evaluation services, with active work on US Navy undersea warfare systems, combat system simulation, training systems, and border security technology testing.
SimIS uses C++, C#, Java, Python, ASP.NET Core, TypeScript, Vue, SQL Server, Docker, Kubernetes, Apache Spark, TensorFlow, plus SAS, SPSS, Stata, Tableau, and Power BI for analysis.
SimIS Inc. is headquartered in Portsmouth, Virginia, United States, and is a privately held veteran-owned small business founded in 2007 with 51–200 employees.
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SimIS 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.