Jobs at Shield AI

Positions 990,742

Shield AI, headquartered in Seattle, develops autonomous AI for defense, delivering AI‑powered flight systems for drones and ground vehicles. Known for deep‑learning flight control and real‑time navigation, Shield AI partners with the U.S. Army and other agencies to accelerate autonomous operations.

Shield AI hires across engineering, data science, robotics, software testing, and product management. Candidates can expect rigorous technical interviews, a culture that values rapid prototyping, and opportunities to work on classified or high‑impact defense projects. The company offers flexible remote options for some roles while maintaining secure on‑site teams.

Job Transparency lists Shield AI’s 779 openings with full salary ranges and employee sentiment scores, giving candidates a clear picture of compensation and workplace culture before applying. Access to real salary data and candid reviews helps you benchmark offers and negotiate confidently.

No open positions at Shield AI right now.

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Frequently Asked Questions

What is it like to work at Shield AI?
Working at Shield AI means contributing to mission‑critical AI that powers autonomous flight and ground systems. The environment is fast‑paced but collaborative, with cross‑functional teams that iterate quickly on prototypes. Security clearance requirements add a layer of compliance, but the company provides robust training and support for all employees. The culture values innovation, problem‑solving, and a deep sense of purpose in defense technology.
What types of positions are available at Shield AI?
Shield AI’s open roles span software engineering, machine learning, robotics, computer vision, data science, cybersecurity, hardware design, QA testing, and product management. Technical roles often require experience with C++, Python, ROS, or TensorFlow, while product roles demand strong stakeholder communication and a background in defense or aerospace.
How can I stand out as an applicant to Shield AI?
To differentiate yourself, showcase hands‑on projects that demonstrate autonomous navigation or real‑time decision making—open‑source contributions or competition entries are valuable. Highlight experience with high‑integrity systems, security clearance or familiarity with defense acquisition processes. Prepare for technical interviews by practicing algorithmic problems, system design scenarios, and domain‑specific questions related to AI in autonomous flight.

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