Job
Description
Responsibilities Design, implement, and optimize ROS 2-based applications for autonomous robots using C/C++, Python, and related tools Develop and deploy ROS 2 applications for both Linux and embedded firmware platforms, ensuring high efficiency and reliability Work with embedded boards and platforms, utilizing Yocto build, Docker containers, and installing ROS 2 packages on target hardware Utilize ROS 2 and Micro-ROS middleware for building communication between different nodes and layers of the robotic system Have a deep understanding of ROS architecture, including the functionality and interaction between layers such as rclcpp, rclpy, rmw, and other key components (DDS, rmw_microxrcedds, micro-ROS-Agent, etc) Work on Simultaneous Localization and Mapping (SLAM), Visual SLAM (VSLAM), and integrate computer vision solutions to enhance robotic navigation and perception Implement and optimize computer vision algorithms and deep learning models to improve object detection, recognition, and environmental interaction Familiarity with simulation tools like Omniverse and Isaac Sim to model, test, and simulate robotic systems before deployment Debug, troubleshoot, and optimize robot performance, ensuring high responsiveness and real-time capabilities in dynamic environments Collaborate with cross-functional teams to deliver high-quality robotic solutions, maintaining comprehensive documentation for design, code, and processes
