1, mechanical, electrical or automation related majors;

2, understand office software, CAD, CORLDRAW and other drawing software;

3, familiar with medical production equipment is preferred;

4, with the ability to independently complete equipment technical transformation technical review and construction management is preferred;

5, strong sense of quality management, strong communication skills, team spirit, strong innovation ability;

6. Received knowledge training, mechanical and electrical training, management training, etc.

1. Responsible for equipment design and drawing

2, mapping, design non-standard parts and tooling

3. Participate in equipment installation and commissioning, and be responsible for the operation of equipment when the equipment is not handed over to the workshop

4. Implement daily maintenance of plant facilities and equipment as planned

5. Responsible for fault analysis and fundamental elimination of production equipment to improve equipment stability

6, timely report to the on-site management of all abnormal situations in the production process

Responsibilities:

1. Proficient in C++, familiar with the underlying algorithm principles and methods of OpenCV, able to independently write related image algorithms

2. Familiar with the principles of deep learning, and have practical project experience such as object detection and semantic segmentation

3. Experience in machine vision development, especially defect detection, size measurement, feature recognition, etc

1. Master degree from Project 985, 211 (a  world-class universities) is required, computer related major is preferred.