Autonomous flight systems for uncrewed aircraft certification and integration
Reliable Robotics builds safety-critical flight control and autonomous navigation systems for uncrewed aircraft. The stack—DO-178C, FPGA, C++, MATLAB, and avionics-grade tooling (Altium, NX, Teamcenter)—reflects aerospace certification maturity. Active projects span radar integration, closed-loop flight testing, and airspace integration; pain points cluster around manufacturing scale, design validation velocity, and the compliance burden of federal certification. Hiring is engineering-dominated (59 of 73 roles) and senior-skewed (48 senior roles), suggesting heavy lift on algorithm and systems hardening rather than greenfield growth.
Reliable Robotics develops autonomous flight systems for uncrewed aircraft, with a focus on certifiable safety-critical avionics and detect-and-avoid capability. Founded in 2017 and based in Mountain View, the company operates at the intersection of robotics, aerospace engineering, and regulatory compliance—building systems that must integrate into the national airspace. The 51–200 person team is heavily concentrated in engineering, with active work on radar systems, flight guidance algorithms, flight control validation, and the operational infrastructure needed to move uncrewed aircraft from test into service. Primary constraints are certification timelines, manufacturing scalability, and the technical maturity of detect-and-avoid systems.
Core stack: C++, Python, FPGA, MATLAB, DO-178C (aerospace safety standard), Altium Designer, NX CAD, Teamcenter PLM. Observability: Tableau, Power BI, Metabase. Infrastructure: AWS, Docker, Terraform, Jenkins.
Closed-loop flight control testing, radar system integration, flight guidance algorithms, detect-and-avoid capability, remote aircraft operations systems, and airspace integration—all aimed at certifiable autonomous flight.
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Reliable Robotics Corporation'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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