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Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced autonomous systems and AI. The Maritime Division is building next-generation autonomous underwater vehicles and maritime platforms, including products like Dive-XL, Dive-LD, Copperhead, and Seabed Sentry, executing billion-dollar contracts while performing Robot-as-a-Service operations.
As a Robotics Software Engineer, you will own the delivery of vehicle perception and planning capabilities integrated into these autonomous maritime systems. Your responsibilities span systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems.
Key responsibilities include:
- Implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance multi-stakeholder constraints and requirements
- Building scalable subsystems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
- Contributing to reusable software components across Anduril product lines
- Applying advanced 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 experiments, including evolving data analysis tooling
- Collaborating with cross-functional teams (software, mechanical, systems engineers) for effective 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, Engineering, or equivalent experience; proficiency in C++ and/or Python; familiarity with autonomous vehicle hardware (radar, sonar, LIDAR, cameras); demonstrated knowledge of computer vision, sensor fusion, SLAM, motion planning, or machine learning; senior-level experience in perception or planning for 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.
