Physical AI Engineer

Civ Robotics develops robotics and autonomous navigation technology for infrastructure construction. The Physical AI Engineer will explore, prototype, and deploy intelligence approaches on real robots, developing perception, learning, data, evaluation, and training systems while collaborating across robotics and engineering teams.

Responsibilities:

• Building learning-based perception and vision systems for unstructured outdoor environments
• Exploring Vision-Language-Action models, foundation models, imitation learning, reinforcement learning, and learned world models
• Creating ways for robots to learn from demonstrations, operators, previous missions, and fleet data
• Combining classical robotics with modern machine learning rather than treating them as competing philosophies
• Developing models for scene understanding, terrain understanding, object detection, segmentation, localization, manipulation, and autonomous behavior
• Finding ways to turn large amounts of robot sensor data into useful training data
• Building data collection, evaluation, replay, and training pipelines for physical AI
• Taking recent research and figuring out what actually works on a robot
• Designing experiments, testing them in simulation, and then getting outside and putting them on a machine
• Working closely with autonomy, controls, embedded, mechanical, and product engineers
• Helping define the longer-term Physical AI architecture for our robots and fleet
• At Staff level, you'll also help identify what we should be working on next - not just execute an existing roadmap