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Posted 16 d ago
Senior Staff Engineer, LRV Systems (R6242)
Posted by Shield AI on 17 October 2026, 16 days ago. Still on their Lever board when we checked 16 min ago. Half of Shield AI's roles come down within 45 days.
What the posting is about
Join Shield AI, a venture-backed defense-tech company, as a Senior Staff Engineer. Protect service members and civilians with intelligent systems. Collaborate on Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationSeattle, Washington
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-17
Found vialever, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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 Staff Systems Engineer on Shield AI's next gen UAS program, you will play a pivotal role in designing, developing, and integrating the Launch & Recovery Vehicle (LRV), the system that transports, deploys, launches, and recovers our autonomous aircraft in a variety of environments. You will lead the technical execution of system architecture, ensuring seamless integration of avionics, hydraulics, electrical power distribution, navigation, and the mechanical, electrical, and data interfaces to the aircraft.
You will work with the air vehicle’s propulsion, hardware, software, flight operations, and manufacturing teams to deliver a mobile, mission-ready LRV that works as part of the full UAS platform. You will also help shape how the system is transported, emplaced, and operated in the field. That means developing CONOPs that set deployment timelines, crew roles, logistics footprint, and how the system survives in the field.
Copied from Shield AI’s own board, not rewritten.
Also open at Shield AI
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