Autonomous flight systems for cargo and logistics
Reliable Robotics builds autonomous aircraft and flight-control systems for cargo transport. The stack spans aerospace hardware design (FPGA, Altium, NX, MATLAB) and modern cloud infrastructure (AWS, Terraform, Docker), with heavy investment in Python and C/C++ for flight-critical software. Engineering dominates headcount; hiring has accelerated across senior and mid-level roles, signaling concurrent pushes on hardware certification, flight testing, and manufacturing scale — all blocking dependencies for FAA integration and commercial deployment.
Notable leadership hires: Crew Chief
Reliable Robotics, founded in 2017 and based in Mountain View, develops autonomous flight systems targeting cargo and logistics operators. The company operates across aircraft design, avionics, ground control systems, and test infrastructure. Active development spans certifiable safety-critical systems, radar integration, flight testing, and the integration of uncrewed aircraft into the national airspace system. Manufacturing and operations teams support scaling production beyond early prototypes.
Aerospace and embedded: FPGA, Altium Designer, SPICE, MATLAB, DSP, NX, C/C++. Backend and data: Python, Django, AWS, Terraform, Docker, pandas. Visualization: Tableau, Power BI, Superset. CI/CD: GitHub Actions, Jenkins, Travis CI.
Autonomous flight systems and integration into national airspace: flight computers, guidance and navigation systems, radar integration, certifiable safety-critical software, and ground control systems. Production scaling includes automated test stands and manufacturing process maturation.
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