Senior Software Engineer, Autonomy Capabilities – Maritime

Responsibilities

• Develop autonomy capabilities for unmanned surface vehicles (USVs), unmanned underwater vehicles (UUVs), and cooperating UAVs performing advanced single- and multi-agent missions.
• Create advanced motion-planning capabilities with safety constraints, including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations.
• Develop passive and active localization and tracking approaches, sensor-fusion modalities, sensor requirements, and observability-aware maneuvering capabilities.
• Build safe maritime autonomy behaviors, including run-time assurance and COLREGS adherence.
• Develop distributed optimization and task-allocation approaches for heterogeneous multi-agent teaming.
• Create high-performance, well-tested software modules with clear interfaces for mid- to high-TRL deployments.
• Collaborate with perception, planning, simulation, hardware, and operational-test teams to integrate autonomy solutions onto real-world platforms.
• Deploy capabilities to surface vehicles, support integration and demonstration events, and analyze mission logs to validate performance and operational effects.
• Research and prototype algorithms, identify tactical capability gaps, and contribute to autonomy roadmaps.
• Own major features end-to-end, mentor junior engineers, and provide limited customer interface support.
• Travel approximately 25% of the year for office, customer, and integration events.

Requirements

• Bachelor's or master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
• Typically 10 years of related experience with a bachelor's degree, 9 years with a master's degree, or 7 years with a PhD, or equivalent work experience.
• Proficiency in C++ and Python.
• Significant experience in robotics areas such as control systems, motion planning, optimization, tactical behaviors, or distributed decision-making.
• Significant experience with unmanned systems and associated algorithms, preferably in maritime applications.
• Experience with simulation tools and environments such as AFSIM, NGTS, or similar.
• Strong problem-solving, troubleshooting, and system-optimization skills.
• Excellent communication and teamwork skills in multidisciplinary environments.
• Ability to obtain a SECRET clearance or higher.

Nice-to-Haves

• Experience across multiple domains, including air, land, sea, or space.
• Experience spanning classical control, optimization, and applied machine learning or reinforcement learning.
• Background in collaborative behaviors and swarm robotics.
• Familiarity with relevant Department of Defense or government programs.
• Hands-on experience with integration events, customer demonstrations, or live exercises.
• Applied research and development experience.