Job Description

- Development of 2D/3D object detection and segmentation deep learning models for greenhouse environment and crop recognition - Processing and analysis of 3D point cloud data utilizing LiDAR and RGB-D (RealSense, etc.) sensor data - Support for the implementation of 3D reconstruction and depth estimation algorithms for precision robot harvesting and maneuvering - Assistance in building pipelines for AI model lightweighting and optimization (TensorRT, etc.) tailored to edge device environments

Qualifications

- Holders of a bachelor's degree or prospective graduates in a related field such as Computer Engineering, Robotics Engineering, or Electrical Engineering - Proficient in at least one of Python or C++ with solid coding skills - Experience in training and managing models using deep learning frameworks such as PyTorch or TensorFlow

Preferred

- Experience directly handling 3D vision sensors such as Intel RealSense and LiDAR and conducting projects - Experience using open-source libraries such as Open3D, PCL (Point Cloud Library), and OpenCV - Experience with SLAM (Autonomous Driving and Mapping) or Visual Odometry related projects - Familiarity with Linux (Ubuntu) OS environments and Docker container-based development - Familiarity with version control via Git and a collaborative culture based on code reviews

Preferred Visas

Benefits

Cover Letter

Required