• Develop and deploy navigation algorithms for robots operating in complex indoor environments
• Own localization, mapping, and SLAM pipelines running in real time on embedded compute
• Build planning frameworks for terrain traversal and dynamic obstacle avoidance
• Integrate navigation with the wider autonomy stack, including perception and motion control
• Build data collection and evaluation infrastructure to benchmark performance across environments
• Validate in simulation and close the sim-to-real gap through hardware iteration

Requirements

• Strong foundations in estimation theory, probabilistic robotics, and motion planning
• Hands-on experience with SLAM, planning, or autonomous navigation systems on real robots, gained through industry or research work
• Proficient in Python and C++, with ROS or equivalent middleware
• Experience getti...