Robotic Arm/Dexterous Hand Perception and Control Engineer

Robotic Arm/Dexterous Hand Perception and Control Engineer at Qualcomm

Qualcomm China is seeking a highly skilled expert with a strong theoretical foundation and hands-on engineering capabilities, specializing in motion planning and control of robotic arms and dexterous hands. This role involves deep participation in kinematic modeling, simulation validation, visual perception, and intelligent grasping strategy development, driving the intelligent application of robotic systems.

Key Responsibilities

• Design and optimize kinematic and dynamic models for robotic arms and dexterous hands to achieve high-precision control and flexible manipulation.
• Develop path planning and task execution algorithms, including inverse kinematics, trajectory generation, obstacle avoidance, and multi-objective coordination.
• Build simulation environments for robotics and conduct algorithm validation and performance evaluation.
• Design and implement environmental perception modules for robotic arms/hands, including object recognition, pose estimation, and semantic segmentation.
• Develop reasoning strategy models and action models for robotic arms and dexterous hands.
• Collaborate with hardware and application teams to complete system integration and on-site debugging, enhancing robustness and generalization in real-world scenarios.
• Prepare technical documentation and contribute to patent applications, academic publications, and technical exchanges.

Qualifications

• Master’s degree or above in Robotics, Automation, Computer Vision, or related fields.
• Solid understanding of kinematic modeling and control theory for robotic arms and dexterous hands.
• Proficient in at least one robotic simulation platform with relevant project experience.
• Experience in computer vision projects and familiarity with common perception models.
• Knowledge of control strategies for robotic arms and dexterous hands.
• Strong programming skills in Python and C++, with good coding practices and engineering capabilities.
• Excellent teamwork and cross-disciplinary communication skills.

Preferred Qualifications

• Experience with dexterous hand control, multi-finger grasping, or soft grippers.
• Participation in robotics competitions, open-source projects, or edge deployment.
• Experience developing robotic systems with multimodal perception and language understanding.
• Strong publication record or patent achievements.

What We Offer

• Exposure to cutting-edge robotics technologies and interdisciplinary research opportunities.
• Collaboration with top-tier research teams and participation in international projects and academic exchanges.
• Flexible work arrangements and an open, innovative technical environment.
• Competitive compensation and ample room for professional growth.

Key skills/competency

• Robotics
• Kinematic Modeling
• Control Theory
• Computer Vision
• Motion Planning
• Grasping
• Simulation
• Python
• C++
• System Integration