Computer Vision Engineer for Robotics

Join Qualcomm China's Engineering Group as a Systems Engineer specializing in robotic vision perception systems. This position offers an exciting opportunity to work at the forefront of robotics and computer vision technology, developing cutting-edge solutions that enable autonomous robots to perceive, understand, and interact intelligently with complex environments. You'll be part of a world-class R&D team working on next-generation robotic systems that integrate advanced vision processing with real-world applications.

• Design and implement comprehensive robotic vision perception modules including object detection, recognition, tracking, and semantic segmentation systems
• Develop sophisticated multimodal perception frameworks by integrating data from diverse sensors including RGB cameras, depth sensors, LiDAR, and IMU systems
• Build and optimize machine learning models for critical robotic functions such as object detection, pose estimation, instance segmentation, and scene understanding
• Research and develop core algorithms for 3D reconstruction, simultaneous localization and mapping (SLAM), and visual-inertial navigation systems
• Collaborate closely with planning and control engineering teams to ensure seamless integration between perception modules and decision-making systems
• Optimize perception algorithms for real-time performance on embedded and edge computing platforms
• Conduct extensive testing and validation of vision systems across various environmental conditions and use cases
• Create comprehensive technical documentation, contribute to patent applications, and participate in academic publications and conferences
• Mentor junior engineers and contribute to technical knowledge sharing within the organization
• Stay current with emerging technologies in computer vision, deep learning, and robotics research

• Master's degree or higher in Computer Vision, Robotics, Electrical Engineering, Computer Science, or closely related technical field
• Strong theoretical foundation and practical experience in computer vision fundamentals including image processing, feature extraction, and pattern recognition
• Proven expertise in modern object detection frameworks (YOLO, R-CNN variants, Transformer-based detectors) and semantic segmentation architectures
• Solid understanding of 3D geometry, camera calibration, stereo vision, and photogrammetry principles
• Experience with multi-sensor fusion techniques and probabilistic robotics frameworks
• Proficiency in Python and/or C++ with experience in computer vision libraries (OpenCV, PCL) and deep learning frameworks (PyTorch, TensorFlow)
• Knowledge of robotics middleware and frameworks such as ROS/ROS2 for system integration
• Strong mathematical background in linear algebra, probability theory, and optimization methods
• Excellent problem-solving abilities and capability to work independently on complex technical challenges

• Hands-on experience deploying robotic vision systems in real-world applications including mobile robots, robotic manipulators, autonomous vehicles, or service robotics
• Familiarity with state-of-the-art vision architectures including Vision Transformers (ViT), attention mechanisms, and neural radiance fields
• Experience with edge AI deployment, model optimization, and hardware acceleration techniques
• Contributions to open-source robotics or computer vision projects demonstrating technical leadership
• Publications in top-tier conferences or journals in computer vision or robotics
• Experience with cloud robotics, distributed perception systems, or robot fleet management
• Knowledge of safety-critical systems design and validation methodologies

• Access to cutting-edge vision and robotics technologies and research facilities
• Collaboration with internationally recognized R&D teams and participation in global technical initiatives
• Flexible work arrangements supporting work-life balance in an innovative, open technical environment
• Competitive compensation package with comprehensive benefits
• Clear career development pathways with opportunities for technical and leadership growth
• Professional development support including conference attendance and continuing education
• Opportunity to contribute to breakthrough technologies that will shape the future of robotics and AI

Qualcomm is an equal opportunity employer committed to providing an inclusive and accessible workplace for all individuals, including those with disabilities.