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Autonomy Engineer- Behavior and Motion Planning (R6007)
Posted by Shield AI on 16 September 2026, 23 days ago. Still on their Lever board when we checked 2 h ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationSan Diego, California
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-16
Found vialever, direct from their system
We saw it 24 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:
The Pilot team develops the algorithms and production software that enable intelligent systems to decide what to do and how to do it in uncertain, dynamic environments. Our work spans mission and task planning, motion planning, effects and action planning, and learned planning approaches. Depending on the team, you may work at the intersection of artificial intelligence, robotics, optimization, and real-time autonomous systems.
As a member of Behavior and Motion planning team, you will leverage your expertise in robotics to develop, deploy, and optimize path planning algorithms for autonomous systems that operate in complex, real-world environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions that advance the state of Hivemind SDK. You will also contribute to developing technical requirements, test plans, and validating the performance of algorithms.
We are hiring software engineers across multiple experience levels. The scope of the role will be calibrated to the candidate's experience, from implementing and validating well-defined planning components to owning major technical capabilities, shaping architecture and roadmaps, and mentoring other engineers.
Copied from Shield AI’s own board, not rewritten. Original ↗
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