Shield AI

Senior Staff Engineer, Autonomous Systems Integration (R5507)

San Diego, California

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hirly's read of this role

Role family: Engineering
Seniority: Lead / management
Stated salary: $170,000 – $250,000 per year
Country: US
Work mode: On-site / unstated
First seen by hirly: 11 Sept 2026

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the posting

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:

Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and aircraft systems, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific.

Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations.

This is a senior technical leadership role for someone who is both a builder and an operator. The right candidate can move comfortably from architecture discussions to benchtop integration, from lab troubleshooting to field execution, and from platform evaluation to clear recommendations for engineering, test, product, and operations leaders.

You will serve as a trusted systems-integration authority for Hivemind test and demonstration hardware. You will help teams select and prepare representative platforms, understand integration tradeoffs, improve test readiness, diagnose cross-disciplinary issues, and translate lessons from real hardware into better engineering, test, and operational practice. The role requires strong judgment, calm execution under pressure, and the ability to bring structure to ambiguous technical environments without overfitting to a single platform or workflow.

Original posting on Shield AI's site ↗

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