Robotics Autonomy Engineer

Job Description

Remote Work:

Hybrid

Job Number:

R0246978

Location:

San Diego,CA,US

Robotics Autonomy Engineer

The Opportunity:

We are a robotics-focused engineering team at the intersection of autonomy, embedded systems, and the maritime domain. Our mission is to design, develop, and deploy advanced robotic platforms that operate in complex, contested, and unstructured ocean environments. We build perception, navigation, and control solutions for unmanned surface vessels (USVs), unmanned underwater vehicles (UUVs), and multi-agent maritime systems, enabling robust robotic capabilities that address real-world operational challenges at sea. Our work spans the full robotics stack—from hardware integration and sensor fusion to software architecture, field experimentation, and mission execution—with a rigorous focus on safety, reliability, and performance in dynamic maritime conditions.

The role will contribute to the design, development, and integration of robotic systems for maritime applications. The candidate will work within a multidisciplinary team to build and validate software and hardware modules across the perception, navigation, and control stack—translating operational requirements into deployable robotic solutions. They will participate in the full development lifecycle, from architecture and prototyping through integration, field testing, and iterative refinement, collaborating closely with systems engineers, hardware leads, and mission stakeholders.

Join us. The world can't wait.

You Have:

• 3 + years of experience with robotics or systems engineering for equipment hardware, including circuits or sensors • Experience with Robot Operating Systems, including ROS or ROS 2, for sensor integration, communication, and system orchestration • Experience in C++ or Python for real-time robotics applications • Knowledge of autonomous systems concepts such as state estimation, localization, path planning, and feedback control • Knowledge of perception techniques including sensor fusion, object detection, and environmental mapping, such as SLAM, LiDAR, camera, or sonar • Ability to develop and maintain software for embedded Linux systems, including version control, CI/CD, packaging, containerization, and documentation • Ability to communicate complex technical topics effectively to a variety of audiences in written and verbal formats • Ability to obtain a Secret clearance • Bachelor’s degree in CS, EE, Computer Engineering, or Robotics Engineering