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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.

Recently posted jobs

22 Hours AgoSaved
In-Office
Dallas, TX, USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, develop, and deploy mechanical test fixtures, stands, and integration tooling to validate X-BAT aircraft subsystems. Create CAD models and drawings, perform structural/thermal analyses, support environmental, vibration, and endurance testing, troubleshoot failures, and collaborate with cross-functional teams to improve test efficiency and hardware reliability.
22 Hours AgoSaved
In-Office
Washington, DC, USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead strategy and execution to improve engineering effectiveness, efficiency, and delivery predictability. Build operating models, governance, metrics, and cadences; drive cross-functional initiatives (AI enablement, developer experience, technical governance); improve team effectiveness and organizational scaling.
22 Hours AgoSaved
In-Office
San Diego, CA, USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead a multidisciplinary software test and automation team to define verification and validation strategies across simulation, SIL/HIL/VIL and operational environments. Build automated regression tests, validation frameworks, and CI/CD-integrated test infrastructure; establish software readiness criteria and metrics; coordinate with engineering, integration, and flight test teams; develop roadmaps and staffing plans; mentor engineers and present readiness and risk to leadership.