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Anduril Industries, a defense technology company, is seeking a Robotics Software Engineer to join its Maritime Division. The Maritime Division develops autonomous undersea systems and platforms including Dive-XL, Dive-LD, Copperhead, and Seabed Sentry, executing billion-dollar contracts while performing Robot-as-a-Service (RaaS) operations.
In this role, you will contribute to the delivery of vehicle perception and planning capabilities integrated into next-generation autonomous maritime platforms. You will own end-to-end projects spanning systems analysis, sensor selection and integration, perception architecture, motion planning, health management, behavior analysis, simulation, and test infrastructure.
Key responsibilities include:
- Implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance multi-stakeholder constraints and requirements
- Developing scalable subsystems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, and vehicle interfaces
- Contributing to reusable software components across Anduril product lines
- Applying computer vision, sensor fusion, and machine learning techniques to enhance vehicle perception and planning
- Conducting thorough testing and validation of algorithms through simulation and real-world experimentation
- Collaborating with cross-functional teams (software, mechanical, systems engineers) on integration and testing
- Traveling up to 20% to co-locate with end-users and teams
Required qualifications include a Bachelor's degree in Robotics, Mechatronics, Computer Science, or related field; proficiency in C++ and/or Python; familiarity with autonomous vehicle sensors (radar, sonar, LIDAR, cameras); demonstrated knowledge of computer vision, sensor fusion, SLAM, motion planning, or machine learning; senior-level experience delivering robotic systems; capacity to act as technical owner for systems including stakeholder engagement and roadmap management; ability to define and implement validation strategies; mentoring capability; and eligibility for U.S. Secret security clearance.
Preferred qualifications include experience with autonomous systems in ground, air, maritime, or space domains; simulation tools (Gazebo, Unity, Unreal Engine); and knowledge of safety standards for autonomous systems.
