About this role
Job Summary:
负责工厂数字化解决方案的技术设计与开发落地，深度参与智能制造系统的创新与实践，探索AI技术在工业场景的创新应用，推动制造业数字化技术升级。
你将获得引领制造业数字化变革的核心机会，深度运用工业4.0与AI前沿技术，将业务痛点转化为可衡量的数字化解决方案，直接驱动工厂运营效率与业务价值的显著提升，在跨部门协作中建立战略级影响力。您将主导设计并交付下一代数字化互联产品与智能化系统，在敏捷开发环境中积累端到端的产品管理经验，协同架构师将创新概念转化为可落地的技术方案，塑造智能制造领域的最佳实践。Responsible for technical design and development implementation of plant digitalization solutions, deeply involved in innovation and implementation of smart manufacturing, exploring innovative AI applications in industrial scenarios, and driving manufacturing digital technology promotion.
You will gain a core opportunity to lead digital transformation in manufacturing, deeply leveraging cutting-edge Industry 4.0 and AI technologies to translate business pain points into measurable digital solutions, directly driving significant enhancements in factory operational efficiency and business value while building strategic influence through cross-functional collaboration.You will lead the design and delivery of next-generation digital connected products and intelligent systems, accumulating end-to-end product management experience in an agile development environment, collaborating with architects to transform innovative concepts into implementable technical solutions, and shaping best practices in smart manufacturing.
Job Responsibilities:
需求分析与方案设计
与业务团队协同，理解制造场景痛点，输出技术可行性方案设计数字化系统架构，包括数据库设计、API接口、前后端交互逻辑技术开发与实现
负责后端服务开发（C#/Java/Python/Node.js等），实现核心业务逻辑与前端开发协作，完成全栈交付能力构建集成AI模型（机器学习/深度学习/智能体/生成式AI等）到工业应用系统负责系统部署、调试与性能优化，确保解决方案稳定运行技术研究与创新
跟踪前沿数字化技术（边缘计算、数字孪生、生成式AI等）探索新技术在制造场景的落地可能性，输出创新POC建立技术知识库，推动团队技术能力持续提升Requirement Analysis & Solution Design
Collaborate with business teams to understand manufacturing pain points and deliver technical feasibility solutionsDesign digital system architecture, including database design, API interfaces, and frontend-backend interaction logicTechnical Development & Implementation
Develop backend services (Java/Python/Node.js) to implement core business logicColloboration with frontend development to build full-stack delivery capabilitiesIntegrate AI models (machine learning/deep learning/agent/GenAI) into industrial application systemsResponsible for system deployment, debugging and performance optimization to ensure stable solution operationTechnical Research & Innovation
Track cutting-edge digital technologies (edge computing, digital twin, generative AI, etc.)Explore the feasibility of new technologies in manufacturing scenarios, delivering innovative POCsBuild technical knowledge base and promote continuous improvement of team technical capabilities Master Degree in Computer Science, Artificial Intelligence, Software Engineering or related technical fieldsSolid computer science fundamentals (data structures, algorithms, operating systems, networking)
Participated in at least one complete industrial system development or AI application project
Proficient in at least one backend language (C#/Java/Python/Go/Node.js), able to independently develop APIs
Familiar with database technologies (MySQL/SQLServer/...)
AI solution development capability: Familiar with ML frameworks, able to call LLM APIs for business functions
Data Processing Experience
Visualization tools: Power BI and python, etc
Big data tools: Hadoop, Spark, etc.Cloud services (Azure is preferred)