北京卓翼智能 builds embedded computer vision and autonomous flight systems, with a stack spanning mechanical CAD (CATIA, SOLIDWORKS), deep-learning inference (TensorFlow, PyTorch, TensorRT), and robotics middleware (ROS, ROS 2). The team is engineering-heavy (7 engineers) with emerging HR and manufacturing functions, pointing toward production scaling. Active projects span drone mechanical design, payload integration, and embedded object detection — signaling a move from research into product validation and small-batch manufacturing.
北京卓翼智能 designs and manufactures autonomous drone systems with integrated embedded AI capabilities. The company operates from Beijing and focuses on hardware-software integration across mechanical structure design, mission-critical payloads, and real-time inference optimization. The product roadmap includes tethered UAV systems and operator optimization for embedded platforms. The organization is compact (seven employees) with a lean engineering core, small sales presence, and emerging operations functions. Current priorities include production process improvement and quality assurance across the hardware pipeline.
SOLIDWORKS and CATIA for mechanical design; TensorFlow, PyTorch, and TensorRT for AI inference; ROS and ROS 2 for robotics; OpenCV, YOLO, and ORB-SLAM3 for computer vision; PX4 for flight control.
Drone mechanical structure and payload design, embedded object detection deployment, model fine-tuning for customization, tethered UAV process planning, and production trial manufacturing.
北京市 (Beijing), China. All hiring is currently conducted within China.
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