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
.jpg)
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
Builds, operates, secures, and automates classified, air-gapped IT infrastructure supporting AI, simulation, and engineering workloads. Responsibilities include Windows and Linux administration, virtualization, storage, networking, identity, endpoint management, backup and recovery, vulnerability remediation, STIG compliance, logging, accreditation support, troubleshooting, documentation, facility stand-ups, and mentoring junior staff.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead trajectory prediction and aircraft-response modeling for safety-critical runtime assurance systems. Develop and validate models using Python, simulation, hardware-in-the-loop, and flight-test data. Integrate trajectory behavior with autopilot interfaces, analyze vehicle-state and telemetry data, support flight-test campaigns, and contribute to C/C++ implementation, testing, and debugging. Coordinate with algorithms, software, systems, test, and platform teams while producing validation evidence and algorithm handoff artifacts.
