Robotic Arm/Dexterous Hand Perception and Control Engineer

16 Hours ago • All levels • Research Development

Job Summary

Job Description

We are 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.
Must have:
  • Design and optimize kinematic and dynamic models for robotic arms and dexterous hands
  • Develop path planning and task execution algorithms
  • Build simulation environments for robotics
  • Design and implement environmental perception modules for robotic arms/hands
  • 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
  • Prepare technical documentation and contribute to patent applications, academic publications, and technical exchanges
  • 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++
  • Excellent teamwork and cross-disciplinary communication skills
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Good to have:
  • 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
Perks:
  • 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
  • World-class health benefit option providing world-class coverage to employees and their eligible dependents
  • Programs designed to help employees build and prepare for a financially secure future
  • Self and family resources to build emotional/mental strength and resilience, as well as define purpose
  • Wellbeing programs and resources to help employees Live+Well and Work+Well
  • Continuous learning and development programs
  • Tuition reimbursement
  • Mentorships

Job Details

Job Posting Date

2025-09-08

General Summary:

We are 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

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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