Job Summary:
This role focuses on leveraging AI and robotics expertise to drive the development of advanced mapping and localization systems. Key responsibilities include designing and deploying SLAM, VIO, and multi-sensor fusion systems that enable real-time mapping and localization across diverse environments.
Key Responsibilities:
* Design and deploy SLAM, VIO, and multi-sensor fusion systems for robust real-time mapping and localization.
* Develop and evaluate algorithms for perception tasks, including pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.
* Architect AI pipelines combining classical and learned methods for environmental understanding at the edge.
Requirements:
* 10+ years of experience in robotics, computer vision, or AI, with 5+ years in SLAM, VO, or sensor fusion, and 3+ years in a technical leadership role.
* M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
* Demonstrated expertise in at least one of the following: Visual-inertial odometry (VIO), Multi-sensor fusion, 3D SLAM and mapping in dynamic environments, AI-based perception models for real-time localization.