$200K – $275K/yr
Role overview
Job description
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Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations
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Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks
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Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy
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Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage
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Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions
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Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms
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Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect
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R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
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Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).
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Experience in multiple aerospace domains (e.g., air, land, sea, space)
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Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
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Background in collaborative behaviors and swarm robotics
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Familiarity with domain-relevant DoD or government programs
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Hands-on experience supporting integration events, customer demos, and/or live exercises
About this listing
- Source: Shield AI's official careers site (via Lever) · last confirmed on the source 29 Oct 2026
- Posted 26 Aug 2026
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What they are looking for
Skills & requirements
Qualification
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience; Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
Department · Hivemind Solutions Division
Hiring company
Shield AI
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