Autonomous flight systems and detect-and-avoid radar for uncrewed aircraft
Reliable Robotics builds certifiable autonomous flight systems for uncrewed and remotely piloted aircraft. The stack pairs safety-critical tooling (DO-178C, FPGA, Altium Designer, SPICE) with modern build infrastructure (Bazel, Rust, Kubernetes), and job posts center on in-house phased array radar for detect and avoid. Hiring is accelerating and heavily skewed toward senior engineers, signaling a push to mature hardware and certification processes.
Reliable Robotics Corporation develops an automated flight system intended to make cargo and passenger air transport safer and reach more locations. Founded in 2017 and headquartered in Mountain View, CA, the privately held company employs 51–200 people and hires in the United States. Its work spans flight software, flight guidance algorithms, avionics hardware, and air-to-air radar, all built toward FAA-compliant certification. The company also develops remote piloted aircraft operations systems and automated test equipment for qualification and manufacturing acceptance.
Reliable Robotics uses C++, Python, Rust, FPGA and DSP tooling, Altium Designer, SPICE, MATLAB, NX, Teamcenter and DO-178C processes, with Bazel, CMake, Docker, Kubernetes, Terraform and AWS for infrastructure.
Job posts point to certifiable safety-critical flight systems, air-to-air phased array radar, remote piloted aircraft systems, flight guidance algorithms, and integrating uncrewed aircraft into the national airspace system.
Yes. Hiring is accelerating and dominated by engineering, mostly senior-level roles, with smaller openings in operations, manufacturing and HR, all based in the United States.
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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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.