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Mô tả công việc About PT Lab: PT Lab is an innovation lab pushing the boundaries of robotics, embodied AI, and hardware solutions to create value for Vietnam and the world. We’re building a brilliant, agile team to develop cutting-edge projects—from smart physiotherapy devices to high-fidelity teleoperation systems and next-gen delivery drones. Our work is hands-on, fast-paced, and driven by a mission to turn bold ideas into reality. If you thrive in an environment where creativity, ownership, and technical excellence are paramount, PT Lab is the place for you. The Role: Software Engineer (Robotics) A Software Engineer at PT Lab will develop the brains behind our robots. You’ll write the algorithms, control systems, and embedded software that power our drones, teleoperation devices, and physiotherapy hardware. This role is for engineers who love to see their code interact with the physical world—whether it’s enabling a drone to navigate autonomously or giving a teleoperation device the precision of human touch. You Will: Develop and optimize robotics software, including control algorithms, state machines, and real-time systems.Work with ROS2 (Robot Operating System), SLAM, and computer vision to enable autonomous behavior.Write embedded software for microcontrollers and single-board computers, ensuring seamless integration with hardware.Design and implement machine learning models fora Edge AI applications, enabling smart, adaptive behavior in our devices.Collaborate closely with mechanical and electronics engineers to ensure software and hardware work in harmony.Test, debug, and iterate—you’ll be hands-on with robots, sensors, and custom hardware, refining performance in real-world conditions.Take ownership of software architecture, from high-level planning to low-level implementation and optimization.Innovate with cutting-edge technologies, including AI, sensor fusion, and real-time control systems.

1. 專案管理：規劃、管理和跟踪計算機視覺相關專案的進度和質量，確保按時高質量交付2. 算法開發與優化：設計和實現先進的視覺算法，如目標檢測、圖像分類、姿態估計、實時視頻處理等，並進行算法的優化以提高效率和準確性3. 技術探索與創新：持續跟進最新計算機視覺技術的發展，並根據業務需求探索並實驗新技術的應用4. 數據管理與處理：負責計算機視覺數據的收集、標註、清洗和管理，確保數據質量，並進行數據分析以支撐模型改進5. 模型評估與改進：搭建視覺模型的測試和評估框架，定期進行模型效果評估，並根據結果進行模型改進和優化6. 跨部門合作：與產品、設計、數據科學等部門協作，將視覺技術創新轉化為實際應用場景，提升產品的用戶體驗和商業價值