The Aircraft division designs, builds, and flies Shield AI's uncrewed aircraft. V-BAT is an ISR aircraft with an operational record from Ukraine to the Indo-Pacific, flown by U.S. and allied forces. X-BAT is an AI-piloted fighter that takes off and lands without a runway, in build now for first flight this year. The work runs from clean-sheet airframe and propulsion design in San Diego to production and flight test in Dallas-Frisco.
Shield AI
Teams at Shield AI
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Aircraft
Growth (Sales and Marketing)
The Growth division is how the capability reaches the people who depend on it. Its sellers, capture managers, and solutions engineers carry V-BAT, Hivemind, and X-BAT into the rooms where the U.S. and allied governments decide what to field, across the Americas, Europe, the Middle East, and Asia-Pacific.
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
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.
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.
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.
