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

2 Days AgoSaved
In-Office
4 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.
2 Days AgoSaved
In-Office
4 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.
2 Days AgoSaved
In-Office
4 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.