岗位职责
1. 负责半导体&微光学生产设备中视觉系统的方案设计、开发与落地实施；
2. 根据工艺及产品检测需求，设计稳定、可量产的视觉检测方案，完成相机、镜头、光源等成像系统的选型与验证；
3. 基于机器视觉开发平台实现缺陷检测、测量、识别与分类等功能，保障系统精度、稳定性及产线节拍；
4. 与上位机软件对接，实现检测数据管理、图像存储、报警及追溯功能；
5. 参与设备整机调试、现场问题分析与性能优化，解决复杂工况下的成像与算法问题；
6. 编写并维护机器视觉技术文档，支持项目验收、交付及后续技术支持。

任职要求
1. 本科及以上学历，计算机、自动化、电子信息、光学工程、人工智能等相关专业；三年以上工作经验
2. 具备半导体行业 AOI / 机器视觉项目开发经验，能够独立承担视觉系统的落地实施；
3. 熟练使用至少两种视觉开发平台或算法库：Halcon / VisionMaster / NI Vision / OpenCV，具备完整项目开发与调试经验；
4. 熟悉工业相机、镜头、光源及成像系统的选型原则，能够针对复杂检测需求设计合理成像方案；
5. 扎实掌握传统图像处理与机器视觉算法，熟悉图像预处理、特征提取、模板匹配、几何测量、缺陷检测等方法；
6. 深入理解并掌握深度学习在 AOI 场景中的应用，具备模型训练、数据标注、效果评估及现场优化经验；
7. 具备良好的问题分析与现场调试能力，能够独立定位并解决生产环境中的复杂视觉问题；
8. 具备良好的沟通能力，能够与软件、设备及工艺团队协作推进项目落地；
9. 英语能力良好者优先，能够阅读英文技术文档与论文，并进行技术交流；
10. 能接受一定频率的 国内及海外出差。
Responsibilities
1. Responsible for the design, development, and implementation of vision systems in semiconductor and micro-optics production equipment;
2. Design stable and mass-producible vision inspection solutions based on process and product requirements, including selection and verification of cameras, lenses, and lighting systems;
3. Implement defect detection, measurement, recognition, and classification functions using machine vision development platforms, ensuring system accuracy, stability, and production line throughput;
4. Integrate vision systems with upper-level software to manage inspection data, image storage, alarms, and traceability;
5. Participate in full-machine commissioning, on-site issue analysis, and performance optimization, resolving complex imaging and algorithm problems under production conditions;
6. Prepare and maintain technical documentation for machine vision systems to support project acceptance, delivery, and ongoing technical support.

Qualifications
1. Bachelor’s degree or above in Computer Science, Automation, Electronic Engineering, Optical Engineering, Artificial Intelligence, or related fields; More than 3 years of work experience
2. Experience in semiconductor AOI / machine vision projects, capable of independently implementing vision systems in production;
3. Proficient in at least two vision development platforms or libraries, such as Halcon, VisionMaster, NI Vision, OpenCV, with complete project development and debugging experience;
4. Familiar with industrial cameras, lenses, lighting, and imaging system selection principles, able to design appropriate imaging solutions for complex inspection requirements;
5. Solid foundation in traditional image processing and machine vision algorithms, including image preprocessing, feature extraction, template matching, geometric measurement, and defect detection;
6. Deep understanding and practical experience applying deep learning in AOI scenarios, including model training, data labeling, performance evaluation, and on-site optimization;
7. Strong problem analysis and on-site debugging skills, able to independently locate and resolve complex vision issues in production environments;
8. Excellent communication skills, able to collaborate effectively with software, equipment, and process teams to ensure successful project implementation;
9. Proficiency in English preferred, capable of reading technical documentation and academic papers and conducting technical discussions in English;
10. Willingness to travel domestically and internationally as required.