JOB SUMMARY
The purpose of the job is to design automation engineering projects in the area of assignment, e.g., mechanical, electrical, electronics, software application. The Automation Design Engineer II reviews and analyzes project requirements, specification, plan, design and installation. Position is responsible for design of automation equipment to ensure stipulated specification and requirements are met, and delivered within budget and on time. Position supports Lead Engineer of respective area in design of automation equipment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
· Designs automation equipment in respective areas of expertise, e.g., Mechanical, Electronics, Electrical, or Software Application.
· Works closely with Project Manager/Engineer to meet project time line and within budget.
· Reviews, understands and interprets requirements/specification accurately for integration into design of equipment.
· Ensures design for manufacturability.
· Acts as liaison with internal and/or external Assemblers/manufacturer of equipment to ensure all parts are manufactured to the design.
· Generates design drawings, installation manual, and user manual.
· Ensures all engineering times are logged into tracking system correspondent to the projects.
· May perform other duties and responsibilities as assigned.
JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS
· Experienced functional knowledge of mechanical/electronics/electrical/software application engineering.
· Experienced functional knowledge of EMS industries.
· Experienced functional knowledge of automation equipment assembly and installation.
EDUCATION & EXPERIENCE REQUIREMENTS
· B.Sc. in Mechanical or Electronics/Electrical Engineering.
· Minimum 3-5 years of working experiences in automation equipment design and installation.
· Or an equivalent combination of education, training or experience.
AI视觉算法工程师
岗位职责：
1. 负责PCBA领域的算法研究及工程实现，包括但不限于缺陷检测、装配检测、异常报警等；
2. 结合实际业务背景，实现并优化深度学习算法、框架及模块，以达成业务目标；
3. 探索并跟踪机器视觉领域的前沿深度学习技术，持续进行优化与升级。
任职资格：
1. 2年以上AI视觉的项目经验；
2. 熟悉缺陷检测常用算法的编写，例如： CNN、R-CNN 和 YOLO；
3. 熟悉编程语言C/C++、Python、C#；
4. 熟悉tensflow/pytorch 深度学习框架至少一种，能使用OpenCV/Halcon等图像处理和视觉库，熟练深度学习模型部署：Tensorrt，Onnxruntime，Openvino Caffe等；
5. 大学本科及以上学历，人工智能、计算机、电子类、自动化相关专业；
9. 有制造行业，尤其电子制造行业视觉设备工作经验者视觉算法者优先考虑。
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