Shield AI
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Hivemind
Hivemind is Shield AI's autonomy stack, the software that flies the aircraft. It has been flying since 2018, across more than 30 platforms including an F-16, and it works in the GPS- and comms-denied conditions where remote-controlled drones fail. It is under a U.S. Air Force production contract for Collaborative Combat Aircraft, and it runs on partner platforms beyond our own. The work is modern C++ autonomy: planning, perception, state estimation, and the ground systems and integration that put it on real aircraft.
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Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, implement, verify, and debug FPGA-based communication modules for UAV avionics. Perform synthesis, timing closure, bitstream generation, and hardware bring-up. Integrate FPGAs with system architecture, optimize for latency/reliability, collaborate across hardware/firmware/software teams, participate in design reviews, and maintain documentation.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, validation, and deployment of advanced electrical hardware test systems for UAVs. Architect PCBs and test interfaces for power electronics, RF, and communications; develop automated Python test sequences; design test fixtures and integrate PLCs, relays, and harnessing; run HASS/ESS/HALT; drive DFT reviews; and mentor junior engineers.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, validate, and deploy advanced electrical test systems and PCBs for UAV subsystems. Develop automated Python test sequences, integrate test fixtures (relays, PLCs, PCBAs, harnesses), lead HASS/ESS/HALT testing, drive design-for-testability reviews, and mentor junior engineers to ensure high-reliability aerospace hardware.
