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Posted 1 mo agoFirst seen 24 d ago
Staff Engineer, Aircraft Thermal Systems (RX) (R6002)
Posted by Shield AI on 22 September 2026, 41 days ago. Still on their Lever board when we checked 17 min ago. Half of Shield AI's roles come down within 45 days.
What the posting is about
Design and integrate thermal systems for Group 5 UAV fighter aircraft. Solve complex problems and deliver operational capability quickly. Work in a rapid-iteration development environment.
Read out of the posting
Levelstaff
Experience asked5+ years
EmploymentFull time
LocationDallas, Texas
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-22
Found vialever, direct from their system
We saw it 18 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:
As a Staff (L4) Aircraft Thermal Systems Engineer, you will take full technical ownership of thermal analysis, design, and vehicle integration for a Group 5 UAV fighter aircraft. You will work from first principles to characterize aircraft-level thermal environments, evaluate heat-transfer pathways, develop cooling solutions, correlate analytical and computational models, and deliver robust thermal systems and hardware 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.
Also open at Shield AI
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