Maritime Autonomy Engineer: USV/UUV Multi-Agent Systems

Shield AI; Boston (MA); On-site; USD 221,000 - 331,000; Full time

Job summary

Shield AI is seeking an experienced autonomy software engineer to advance capabilities for USVs, UUVs, and UAVs, focusing on multi-agent collaboration and advanced motion planning. You will transform control theory into deployable solutions integrated with real-world platforms.

You will work across perception, planning, simulation, and hardware teams while traveling to customer sites and flight demonstrations. A strong robotics background and C++/Python expertise are essential.

Qualifications

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience.
• Minimum experience: 4–7 years depending on degree level; PhD flexibility.
• Proficiency in C++ and Python; familiarity with RTOS.
• Background in robotics: motion planning, behavior modeling, autonomous system design.

Responsibilities

• Robust Motion Planning for USV/UUV/UAV coordination under safety constraints.
• Localization and Tracking using sensor networks for multi-agent systems.
• Safe Maritime Operations with COLREGS adherence and operator trust.
• Heterogeneous Multi-Agent Collaboration for efficient task allocation.
• Rigorous Software Development with well-defined interfaces and testability.
• Cross-Functional Collaboration with perception, planning, simulation, hardware, and ops test teams.
• Deployment and Test Support on real surface vehicles and mission logs analysis.
• R&D and Road-mapping to advance autonomy and new algorithms.
• Travel approximately 25% of the year to offices, sites, and events.

Skills

C++

Python

RTOS

Motion planning

Autonomy

Robotics

Communication

Education

Engineering degree or equivalent

Tools

AFSIM

NGTS

Job description

Shield AI is seeking an experienced autonomy software engineer to advance capabilities for USVs, UUVs, and UAVs, focusing on multi-agent collaboration and advanced motion planning. You will transform control theory into deployable solutions integrated with real-world platforms.

You will work across perception, planning, simulation, and hardware teams while traveling to customer sites and flight demonstrations. A strong robotics background and C++/Python expertise are essential.