Radar and sensor modeling, simulation, and test automation for defense systems
deciBel Research builds modeling, simulation, and test infrastructure for radar and sensor systems in the defense sector. The tech stack—MATLAB, Python, C++, Jenkins, Kubernetes, AWS/Azure/GCP—reflects a mature engineering organization balancing simulation workloads with cloud-native deployment. Active hiring is heavily weighted toward engineers (30 of 35 roles), with a seniority mix favoring senior and mid-level talent, indicating execution on large contracts requiring both depth and fresh capacity.
deciBel Research, founded in 2002 and headquartered in Huntsville, Alabama, provides radar system and sensor research, development, and integration services to defense customers. Core work spans modeling and simulation analysis, sensor and system test and evaluation, algorithm development, and intelligence/surveillance/reconnaissance applications. The company operates across four U.S. locations—Huntsville, Dayton, Colorado Springs, and Wallops Island—and manages large government contracts while maintaining the flexibility of a small business. Recent project focus includes validation and verification testing, ground-based defense weapon system programs, and automation of test procedures and reporting dashboards.
Primary: MATLAB, Python, C++, Bash. Infrastructure: Kubernetes, Docker, AWS, Azure, GCP. CI/CD: Jenkins, GitLab CI/CD, CircleCI, Spinnaker. Collaboration: Jira, Confluence, Bitbucket, GitLab. Observability: Elasticsearch, OpenSearch.
Headquarters in Huntsville, Alabama. Additional offices in Dayton, Ohio; Colorado Springs, Colorado; and Wallops Island, Virginia.
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deciBel Research, 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.