About the job
Anduril Industries builds advanced defense technology for the U. S. and its allies. The company’s Lattice OS brings together streams of data into a real-time 3D command and control center, supporting military operations with AI, autonomy, computer vision, sensor fusion, and networking. Anduril’s approach delivers new capabilities to the field in months, not years.
Team Focus: Maneuver Dominance
The Maneuver Dominance team develops multi-asset autonomy solutions, with a strong focus on unmanned aerial vehicles. The team designs perception and autonomy algorithms that enable large groups of autonomous systems to work together, especially in complex and dynamic environments. Their work addresses the real-world challenges of reliable perception and mission execution for advanced aerial platforms.
Role Overview: Computer Vision Engineer
This Computer Vision Engineer position is based in Costa Mesa, CA. The role centers on building advanced perception systems for autonomous aerial platforms. Candidates should bring a strong background in computer vision algorithms and robotics, and be ready to solve problems in areas like visual perception, SLAM, motion planning, controls, and state estimation.
The work involves making practical engineering decisions that account for the constraints of aerial systems. Success in this role requires a systems-level perspective and hands-on experience at the intersection of computer vision, robotics, and autonomy. The team values a pragmatic mindset and a commitment to mission outcomes, especially when balancing speed, scalability, and sound engineering.
What You Will Tackle
- Develop and implement computer vision algorithms for autonomous aerial platforms
- Apply robotics principles to solve perception, SLAM, motion planning, controls, and state estimation challenges
- Work closely with autonomy and perception teams to integrate solutions into operational systems
- Balance engineering trade-offs to meet the unique demands of aerial platforms
- Contribute to the rapid fielding of new autonomous capabilities
Location
This position is based in Costa Mesa, California, United States.
