Location CN-Shanghai
Job ID
Office Support
Queen Cai
Position Level
Support II


The purpose of this internship is to prepare college juniors and seniors for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization to include theory and practical application of attained knowledge. Project work will differ in each area depending on business needs, and all interns will participate in the US Zebra Internship Program. The program is designed to provide you with a full experience so that you can fully envision a career with Zebra. You be positioned for success with training, exposure to all parts of the business, social activities, a professional mentor relationship and development sessions to help you discover your own performance edge!



Zebra Technologies’ Chief Technology Office is an intrapreneurial team creating innovative solutions for the transportation & logistics, warehouse, retail, and healthcare markets. These “first of a kind” solutions are helping retail managers improve their store operations & better serve their customers and are helping T&L managers enhance the efficiency of their loading operations.

The CTO’s Solution Incubation Team focuses on advanced development and application of emerging edge sensing, artificial intelligence, and workflow optimization technologies in innovative end-to-end system prototypes to solve real-world problems and advance these systems into new businesses.

This intern position is in our Shanghai office with the artificial intelligence group, whose expertise includes machine learning, computer vision, image analysis, natural language processing, embedded systems, and cloud computing.


Duration (flexible): at least 6 months of part-time or full-time internship 2021



Working with team members in both Shanghai and U.S. locations, you will contribute to multiple advanced prototypes and solutions through algorithm and software design, development, test, and deployment in Computer Vision and Machine learning field.



  • Qualification

    Expecting to complete a Master or Ph.D. degree during the 2021-2022 academic year, in Computer Science, Computer Engineering, Electrical Engineering, or related field, with a concentration in computer vision and/or machine learning.



    Specific Knowledge/Skills:

    • Graduate-level studies in computer vision, image/video processing, and machine learning.
    • Proficiency in C, C++ programming languages is required. Knowledge in Python a plus.
    • Good skills in Android programming. Knowledge in smartphone app development or embedded platforms a strong plus.
    • Solid background in computer vision subjects including object detection and recognition, segmentation, pose estimation and tracking, and 3D computer vision.
    • Solid understanding in classic machine learning and latest advances in deep neural networks.
    • Experience using OpenCV for computer vision and image analysis algorithm development.
    • Experience using Deep Learning frameworks including Tensorflow, Caffe, PyTorch is preferred.
    • Good skills and knowledge in software development process and tools.
    • Experience with CUDA drivers, GPU programming, Linux architecture and Robotic OS is a plus.
    • Programming experience on Android platforms is a plus.
    • Strong teamwork, communication skills, passion, creativity, productivity & learning agility.

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