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要求：

Requirements:

一、技术能力：

I. Technical Capabilities:

1、编程语言能力：

1. Programming Language Skills:

• 1）精通应用C#语言开发软件；
• 1）Proficient in C# software development;
• 2）熟练使用Visual Studio等编程工具和辅助工具；
• 2）Skilled in using Visual Studio and other programming tools;
• 3）如具备OpenCV、Halcon、Python、C++、VB等语言的开发能力者优先；
• 3）Preference given to candidates with development experience in OpenCV, Halcon, Python, C++, VB, etc.;

2、软件开发能力：

2. Software Development Capabilities:

• 1）熟练使用WinForms、WPF等桌面应用程序开发框架，熟悉.NET Framework、ADO.NET、ASP.NET等开发技术；
• 1）Proficient in using desktop application development frameworks such as WinForms and WPF, familiar with .NET Framework, ADO.NET, ASP.NET and other development technologies;
• 2）熟悉SQL Server、MySQL等数据库开发，掌握存储过程及优化技术，具备开发照片处理、数据存储等应用经验；
• 2）Familiar with SQL Server, MySQL and other database development, mastering stored procedures and optimization techniques, with experience in developing photo processing, data storage and other applications;
• 3）具备独立开发非标设备上位机软件的开发能力，能够根据硬件接口需求设计通信方案，实现状态监控、硬件控制、故障报警等功能；
• 3）Capable of independently developing HMI software for non-standard equipment, able to design communication solutions according to hardware interface requirements, and implement functions such as status monitoring, hardware control, and fault alarm;
• 4）如掌握跨平台开发经验（Windows/ iOS/Android）者优先；
• 4）Preference given to candidates with cross-platform development experience (Windows/iOS/Android);

3、工控技术能力：

3. Industrial Control Technical Capabilities:

• 1）通讯技术：熟悉串口（RS-232、485、USB）、网口（TCP/IP、UDP）、Modbus、EtherCAT等工业通信协议。
• 1）Communication Technology: Familiar with industrial communication protocols such as serial port (RS-232, 485, USB), network port (TCP/IP, UDP), Modbus, EtherCAT, etc.
• 2）熟悉和Mes系统对接的数据上传的方法和技巧；
• 2）Familiar with methods and techniques for data uploads integrated with MES systems;
• 3）具备与PLC、机器人、视觉、传感器、控制器、读卡器等硬件设备，进行信息交互、线程控制等开发经验；
• 3）Experience in developing information interaction and thread control with hardware devices such as PLCs, robots, vision systems, sensors, controllers, card readers, etc.;
• 4）如熟悉并具备PLC、机器人、数字图像处理编程能力者优先；
• 4）Preference given to candidates familiar with and capable of programming PLCs, robots, and digital image processing;

二、其他技能与要求：

II. Other Skills and Requirements:

• 1）学历与专业：计算机、自动化、电子工程等专业本科及以上学历；
• Education and Major: Bachelor's degree or above in Computer Science, Automation, Electronic Engineering, or related fields;
• 2）工作经验：5年左右工控领域软件开发经验，必须有非标自动化集成项目经验；
• Work Experience: About 5 years of software development experience in industrial control field, must have experience in non-standard automation integration projects;
• 3）团队协作：具备良好的沟通能力、抗压能力及团队合作意识，能适应阶段性出差工作；
• Team Collaboration: Good communication skills, ability to work under pressure, and team spirit, able to adapt to periodic business trips;
• 4）英语能力：能熟练阅读英文技术文档。
• English Proficiency: Proficient in reading English technical documents;

岗位职责：

Job Responsibilities:

• 1. 开发工业视觉检测产品：通过公司自己开发的人工智能技术、数字图像处理、机器视觉等核心技术软件，实现对工业产品的瑕疵检测、质量检测等功能；
• 1. Develop industrial vision inspection products: Implement defect detection, quality inspection and other functions for industrial products through the company's own artificial intelligence technology, digital image processing, machine vision and other core technology software;
• 2. 开发和搭建整套基于深度学习的工业视觉检测系统，包括但不限于分割、分类、目标检测等；
• 2. Develop and build a complete set of industrial vision inspection systems based on deep learning, including but not limited to segmentation, classification, object detection, etc.;
• 3. 基于上述系统，针对特定工业需求场景、针对生产线的实际要求，实现对检测算法的跟踪、调优，跟其他产品和算法团队配合，实现对整套产品系统的优化与完善。
• 3. Based on the above systems, implement tracking and optimization of detection algorithms for specific industrial demand scenarios and actual production line requirements, cooperate with other product and algorithm teams to achieve optimization and improvement of the entire product system.

任职要求：

Requirements:

• 1. 计算机、自动化、数学等相关专业，编程功底扎实，精通主流深度学习框架如pytorch、Tensorflow等；
• 1. Computer Science, Automation, Mathematics and other related majors, solid programming skills, proficient in mainstream deep learning frameworks such as PyTorch, TensorFlow, etc.;
• 2. 熟悉并能实现常用的图像处理、模式识别及机器学习算法，熟悉OpenCV等计算机视觉开发库；
• 2. Familiar with and able to implement common image processing, pattern recognition and machine learning algorithms, familiar with computer vision development libraries such as OpenCV;
• 3. 有良好的沟通表达能力，良好的分析解决问题的能力，严谨认真的工作态度；
• 3. Good communication skills, good ability to analyze and solve problems, rigorous and serious work attitude;
• 4. 独立完成过其他深度学习项目的完整流程，包括主流网络模型的选取、样本标注、参数调优训练、评价测试等环节，都有经验的优先。
• 4. Independently completed the complete process of other deep learning projects, including the selection of mainstream network models, sample annotation, parameter tuning training, evaluation and testing, etc., with experience preferred.