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Posted 1 mo agoFirst seen 24 d ago
Staff Engineer, M&P (R6072)
Posted by Shield AI on 24 September 2026, 39 days ago. Still on their Lever board when we checked 8 min ago. Half of Shield AI's roles come down within 45 days.
What the posting is about
Design and develop high-performance structural components for autonomous aircraft. Collaborate cross-functionally to ensure structural integrity, manufacturability, and system integration. Thrive in hands-on design environments and take increasing ownership of flight-critical designs.
Read out of the posting
Levelstaff
Experience asked5+ years
EmploymentFull time
LocationSeattle, Washington
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-24
Found vialever, direct from their system
We saw it 16 days after 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:
Shield AI is seeking a Staff Materials & Processes Engineer to support the development and production of our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will develop, qualify, and implement materials and manufacturing processes for flight-critical hardware from concept through production.
You’ll work cross-functionally to ensure material performance, process control, manufacturability, and compliance across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace materials engineer who thrives in hands-on development environments and is eager to take technical ownership of complex materials and process challenges.
Copied from Shield AI’s own board, not rewritten.
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