Shield AI

HQ
San Diego
Total Offices: 4
Year Founded: 2015
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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 Arlington Frisco Waltham
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

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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

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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
Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.
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Shield AI

Sr. Manager, Enterprise Data (R6103)

4 Days AgoSaved
Remote
USA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads Shield AI’s Enterprise Data delivery organization, managing data engineering, analytics engineering, domain enablement, and governance teams. Translates enterprise data strategy into sequenced roadmaps, manages priorities, capacity, dependencies, risks, and stakeholder expectations, and ensures production-ready, governed data products. Partners with architecture, platform engineering, security, and business leaders on technical tradeoffs, data quality, lineage, reliability, and investment priorities. Also owns hiring, coaching, performance development, delivery metrics, and continuous improvement of the data operating model.
see all jobs at Shield AI