Research & Development Engineer

Responsibilities Lidar and Sensor Data Processing: Develop real-time algorithms for processing Lidar, laser, and point cloud data to detect, classify, and track objects. Deep Learning for 3D Perception: Design and optimize deep learning models (e.g., 3D YOLO, Point Net) for object detection and segmentation using point cloud data. Sensor Fusion and Computer Vision: Integrate data from Lidar, camera, and other sensors for enhanced perception and environment understanding. Work Locations Responsibilities System Optimization: Implement algorithms optimized for real-time and edge deployment, focusing on performance, inference speed, and accuracy. Collaboration & Testing: Work with cross-disciplinary teams to integrate perception systems and rigorously test in real-world environments using SLAM and performance metrics like maps. Skills + Experience Bachelor Degree in Electronics / Engineering +8-10 Years of work experience in Lidar #J-18808-Ljbffr