Key Responsibilities
Design and implement key CV and Deep Learning algorithms to enhance scene understanding and robot perception.
Develop and optimize 3D point cloud-based feature detection, tracking, and segmentation pipelines
Develop robust sensor calibration pipelines
Train, tune, and deploy deep learning models for object detection and semantic segmentation
Calibrate and tune perception sensors (LiDAR, RGBD, stereo cameras) for robust performance in real-world conditions
Collaborate closely with teammates from navigation and SLAM teams to deliver high-quality autonomous software stacks that powers next generation cleaning robots.
Produce clean, efficient, and well-tested C++ and Python code
Contribute to technical documentation, testing infrastructure, and team knowledge sharing
Qualifications & Experience
Bachelor's or Master's degree in CS, Robotics, or a related field (or PhD with relevant focus)
3+ years of industry experience in robotics perce...