f7d8749a-72d6-407c-bf98-292ea630c73a Senior Software Engineer focused on maritime autonomy capabilities for USVs, UUVs, and UAVs. Develops advanced single- and multi-agent teaming missions and integrates capabilities onto new platforms.
Responsibilities
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
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
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
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
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
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
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
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
Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).
Qualification
BS/MS in Computer ScienceStrong problem-solving skillsExperience in multiple domains (e
Required
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
Proficiency in programming languages such as C++ and Python
Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
Significant experience with unmanned system technologies and accompanying algorithms (ideally in the maritime domain specifically)
Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
Ability to obtain a SECRET clearance or higher
Preferred
Experience in multiple domains (e.g., air, land, sea, space)
Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
Background in collaborative behaviors and swarm robotics
Familiarity with domain-relevant DoD or government programs
Hands-on experience supporting integration events, customer demos, and/or live exercises
Experience in applied research and development
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity