AI-driven kill chain automation software for air and missile defense
Camgian builds AI decision-automation software for air, missile, space and counter-UAS defense operators. Its stack pairs ML frameworks (PyTorch, TensorFlow, OpenCV) with model-based systems engineering tools like Cameo, IBM Rhapsody and SysML, and it is adopting AWS GovCloud, which points to accredited government cloud deployment. Hiring is accelerating and skews toward senior and principal engineers, with heavy emphasis on test automation and platform validation.
Camgian is a privately held defense technology company headquartered in Starkville, Mississippi, founded in 2006 and employing 51–200 people. Its flagship Reactor® platform applies artificial intelligence to automate kill chain decisions for operators in air and missile defense, space defense and counter-UAS missions. The company serves Army, joint, space and Department of War customers, aligning solutions to mission requirements. Work spans AI/ML prototyping, sensor fusion, modeling and simulation, and systems integration. Hiring is concentrated in the United States.
Camgian uses Python, Java, C++, C# and Go, ML libraries like PyTorch, TensorFlow and OpenCV, test tools such as Selenium, pytest and Robot Framework, plus Jenkins, GitLab CI/CD, Jira and Cameo Systems Modeler.
Reactor® is Camgian's AI-enabled kill chain automation platform, supporting operators in air and missile defense, space defense and counter-UAS operations with faster decision-making.
Yes. Camgian's hiring is accelerating and is dominated by engineering, mostly senior and principal roles, focused on platform testing, AI/ML prototypes and multi-domain integration in the United States.
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Camgian'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 →
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