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Posted 18 d ago
Staff Engineer, Hivemind Reasoning (R6292)
Posted by Shield AI on 15 October 2026, 18 days ago. Still on their Lever board when we checked 30 min ago. Half of Shield AI's roles come down within 45 days.
What the posting is about
Develop and maintain Hivemind autonomy software. Collaborate with cross-functional teams. Solve complex problems in autonomous systems.
Read out of the posting
Levelstaff
Experience asked7+ years
EmploymentFull time
LocationSan Mateo, California
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:
Help shape the future of physical AI in defense by building reasoning models for unmanned autonomous systems across aerial, maritime, land, and space domains.
We’re looking for a deeply technical engineer who can turn emerging research into reliable autonomous capabilities and shares our conviction that AI can protect service members and civilians. As a Staff Engineer on the Hivemind Reasoning team, you’ll drive the design, training, adaptation, and evaluation of reasoning and cognition models intended for deployment on unmanned platforms.
You’ll take hands-on ownership of complex technical problems, from defining model architectures and training objectives to establishing rigorous evidence of mission effectiveness. Your work will support individual vehicles and coordinated teams of hundreds of agents, while accounting for limited compute, intermittent communications, incomplete information, and other constraints of operating at the edge in contested environments.
You’ll partner closely with teams in perception, MLOps, large-scale simulation, autonomy, and inference to deliver capabilities as part of Hivemind Enterprise.
Copied from Shield AI’s own board, not rewritten.
Also open at Shield AI
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