DSP systems and signals processing for U.S. defense and intelligence
Rincon builds digital signal processing systems, geolocation platforms, and mission-critical infrastructure for U.S. Defense and Intelligence agencies. The tech stack—PostgreSQL, Oracle, C++, Python, CUDA, Kubernetes, plus reverse-engineering tools (IDA Pro, Ghidra)—reflects deep systems work on signals collection and real-time processing. Engineering dominates the org (33 of 39 active roles), skewed toward senior talent, suggesting complex algorithmic problems and long project lifecycles typical of classified government contracts.
Rincon Research Corporation designs, builds, and deploys digital signal processing systems, geolocation solutions, and high-performance computing infrastructure for the U.S. Defense and Intelligence communities. Founded in 1983, the company operates as a small business from Tucson, Arizona, serving government customers worldwide across signals collection and analysis, GPS applications, orbit analysis, and high-speed electronics development. Active projects span signal processing and geolocation algorithms, real-time cloud processing, next-generation AI systems, and modernization of existing platforms across C++, Python, and web stacks. Current hiring is engineering-focused, with roles concentrated in senior and mid-level positions.
Rincon uses PostgreSQL, Oracle, MongoDB, Elasticsearch, C++, Python, CUDA, Kubernetes, Docker, and GitLab. The stack includes reverse-engineering tools (IDA Pro, Ghidra) and front-end frameworks (React, Vue, Angular) for signals visualization and data systems.
Rincon Research is headquartered in Tucson, Arizona, and was founded in 1983. The company is privately held with 201–500 employees.
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