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

Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads strategic Talent Acquisition and People Experience programs, including recruiting process optimization, technology implementations, change management, governance, and adoption. Partners with recruiting, HR, systems, legal, finance, IT, and business stakeholders to redesign workflows, establish operating models, manage risks and dependencies, improve candidate and hiring-manager experiences, and use data to measure outcomes and drive continuous improvement.
13 Hours AgoSaved
In-Office
2 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and operate Kubernetes-native platform services and distributed orchestration capabilities supporting AI workloads across cloud, on-premises, edge, sovereign, and air-gapped environments. Design production software, data-processing infrastructure, observability, deployment patterns, and operational standards. Establish reference architectures, reliability practices, benchmarks, and recovery procedures while partnering with autonomy, ML, simulation, infrastructure, and product teams. Provide hands-on technical leadership in distributed systems architecture, implementation, troubleshooting, performance analysis, and platform reliability.
6 Days AgoSaved
In-Office
2 Locations
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and operate developer tools, internal platforms, development environments, project templates, and AI-enabled workflows for Hivemind engineering teams. Improve developer productivity through reusable tooling, paved paths, documentation, adoption efforts, and inner-source practices. Partner with developers to identify friction, measure outcomes using DORA metrics and feedback, and drive technical direction. Staff-level responsibilities include leading cross-team initiatives and shaping organization-wide developer productivity strategy.