Shield AI Offices

Shield AI is headquartered in San Diego and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ

San Diego

X-BAT airframe, propulsion, mission systems, GNC, and the core Hivemind autonomy stack are built here, minutes from the Pacific and the naval air stations that shaped the mission. If you design flight-critical hardware or write autonomy software, most of that work is here, on-site.

Arlington

Affectionately referred to as "the Eagle's Wing," our DC office features sweeping views of the nation's capital with world-class museums, award-winning restaurants, and key metro stops within walking distance.

Frisco

This is where aircraft become real at rate. V-BAT production, X-BAT manufacturing build-out, fleet sustainment, air-vehicle-operator training, and flight test run out of North Texas, on a modern line. If you build, fly, or sustain aircraft, this is your hub.

Waltham

500 Totten Pond Road, Waltham, MA, United States, 02451

Recently posted jobs

29 Minutes AgoSaved
In-Office
Seattle, WA, USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Design and develop primary and secondary structural components for a next-generation UAV. Execute full design lifecycle, perform hand calculations and limited FEA, collaborate across disciplines, support validation/testing, and produce design documentation and drawings to aerospace standards.
2 Hours AgoSaved
In-Office
2 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Design end-to-end human-machine interfaces for UAV ground control station software. Create wireframes, high-fidelity mockups, and interactive prototypes in Figma; apply human factors principles for real-time data visualization, conduct usability testing and simulations, and collaborate with engineers, pilots, and human factors experts to maintain scalable design systems.
10 Hours AgoSaved
In-Office
Seattle, WA, USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads advanced manufacturing engineering across multiple defense and aerospace programs. Responsibilities include defining manufacturing processes, mapping material bills of manufacturing, designing workstations and tooling, creating controlled work instructions, conducting time studies, improving throughput through lean methods, implementing MES/QMS systems, supporting quality and first article inspection readiness, managing engineering change orders, and mentoring engineers during new production-line development.