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Shield AIPosted today

Staff Engineer, Flight Test (R6064)

Staff Engineer, Flight Test (R6064) at Shield AI scores 34 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Washington, D.C.leadFull Time Employee$140k-$210k

AI in this role

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

As a Hivemind Solutions Staff Integration & Flight Test Engineer (ACP Programs), you will serve as a key contributor for the integration, verification, and flight test of Hivemind AI Pilot capabilities on Group 5 UAS/Autonomous Collaborative Platforms (ACP). 

You will translate program objectives into executable integration and flight test plans across multiple test environments.  Using disciplined test, analysis, and feedback methodologies, you will drive rapid capability maturation while maintaining rigorous safety, configuration control, and mission assurance standards. 

This role serves as the technical contributor for integration and flight test execution on assigned ACP programs, responsible for coordinating test readiness, managing technical and safety risk, and leading day-to-day test execution.  Here, you will serve as the primary focal point to facilitate coordination across internal program leadership and functional teams, OEM partners, and government customers and stakeholders to deliver high-impact autonomy capabilities at scale.  Successful candidates are curious engineers who use disciplined integration and flight test to generate knowledge, reduce technical risk, and accelerate delivery of operational capability. 

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