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Posted 17 d ago
Staff Engineer, Landing Gear Systems - Ranger (R6294)
Posted by Shield AI on 15 October 2026, 17 days ago. Still on their Lever board when we checked 55 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 Staff Engineer. Work on Landing Gear Systems for the Ranger project (R6294). Contribute to protecting service members and civilians with intelligent systems. Collaborate on products like Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationSeattle, Washington
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-15
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 or Senior Staff Landing Gear Engineer, you will take full technical ownership of the landing gear architecture, kinematic mechanism design, structural analysis, and vehicle integration for a new UAV platform. Serving as the sole landing gear subject matter expert on this program, you will work from first principles to execute mechanism trades, perform structural hand calculations, design hardware, manage external component suppliers, support proposals and capture, and deliver flight-ready systems in a rapid-iteration development environment. This position requires a balance of technical rigor, rapid decision-making, and hands-on engineering to efficiently transition concepts into operational capability. The ideal candidate is comfortable solving complex problems, taking ownership, working within an accelerated aircraft development environment, and is motivated by getting meaningful capability into the hands of operators quickly.
Copied from Shield AI’s own board, not rewritten.
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