轉職熱搜工作

1. 自動化設備導入與開發：依據產線需求，規劃自動化方案，設計與執行自動化流程改善計畫。 2. PLC 控制程式設計與除錯，進行邏輯控制程式撰寫與優化。 3. 介面設計：負責人機介面開發與整合，提升操作效率與可視化監控。 4. 機器人與電控整合：整合工業機器人與周邊控制系統，包含運動規劃、通訊協定設計與參數設定。 5. 自動化設備智慧化開發：導入感測器與邊緣運算(Edge Computing)技術，提升設備預測維護與數據應用能力。 6. 設備現場安裝與測試：負責設備佈線、電控配盤、現場組裝與試車調適，協助量產導入。 7. 專案文件與技術資料編寫：撰寫規格書、操作手冊與維修保養指引，確保技術知識文件化。 8. 協助推動產線精實改善與自動化提案。 9. 主管交辦事項與跨部門技術支援。

Job Summary/Role: The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases. Responsibility: • Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions. • Architect on real MFG needs and translate requirements into technical needs. • Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.) • Consolidate the requirements and using data engineering skills to design a robust Data Mart. • Participate in design, architecture review and deployment of Big data and data warehouse solutions. • Design for automation and monitoring mechanism in a continuous integration environment. • Bring new data technology with POC to solve existing data challenges. • With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases). • Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow. • Provide direction, training, and guidance to less experienced team members.

1.安裝及維修電子電機產品或設備 2.電器配管配線 3.協助其他工程師交辦事項 4.須穿無塵服 5.高空作業車(lifter)、電池 維修保養 6.有台積電紅白卡者優先入廠 無經驗可，會有教學訓練

1.安裝及維修電子電機產品或設備 2.電器配管配線 3.協助其他工程師交辦事項 4.須穿無塵服 5.高空作業車(lifter)、電池 維修保養 6.有台積電紅白卡者優先入廠 無經驗可，會有教學訓練

1.自動化設備機構之改良設計及優化設備處理。 2.自動化機台設備機構動作之機構設計。 3.生產技術資料庫電子化建立。 4.廠區相關教育訓練建構。 5.自動化機台設備執行開發規劃。 6.產品機構設計之驗證與量產導入及試作生產問題解決。 專長： *2D/3D繪圖操作 *自動化設備開發規劃及驗證導入

1.使用 ROS2 開發應用並部署於機器人系統。 2.開發機器人視覺系統，並透過傳統或機器學習演算法進行部署。 3.具備研究新技術的熱情，並樂於與團隊分享研究成果。 4.其他主管交辦事項。

＜About the job＞ As the AI Software Engineer, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). ＜Job Description＞ Responsible for deploying the AI/Data Science collaborative framework and building the AI model and data operating infrastructure. Using software development experience to design and develop high-performance automated systems for AI development and operation. As below: ．Collaborating with Data Scientist/AI ML Engineer team, other software system development teams, and the infrastructure team. ．Ability to utilize various tools/methods to build the MLOps/DataOps/DevOps and deploy and manage the AI Development framework and infrastructure ．Developing infrastructures for data transformation and ingestion and automating important infrastructure to process data ．Deploy AI models to the Inference server and optimize the performance of the model serving operation reliably and efficiently. ．Assist the Data Scientist/AI ML Engineer team in converting the AI models into APIs to serve other systems or integrate with other systems. ＜Skill Sets＞ (1)Excellent problem-solving and troubleshooting skills. (2)Genuine passion for learning new technologies and open-source projects. (3)Familiarity with Python and Java (python is a must) (4)Good understanding of the Linux OS environment, the Shell Scripting, and infrastructure/networking knowledge. (5)Experience with GitLab CI/CD (Nice to have but not necessary) (1)Experience with MLops and Model Serving tools. (2)Experience in GPU programming and performance tuning (3)Being familiar with AZURE (or AWS) cloud infrastructure will be a plus (4)Familiar with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s)

1. 執行 PKG TRA 風險並提出解決方案 2. 執行年度計畫與分析專案 3. 模擬/量測開發/制訂標準化-建立新模擬/量測/特性分析方法 4. 執行課內教育訓練，吸收新知識、新技術，提升工程師技能 5. 國內技術論文與專利發表

1.協助規劃產品流程所需技術及設備參數評估 2.製程生產參數之測試及驗證 3.製程能力及製程管制規格制定 4.製程良率改善及提升

1.職業安全衛生年度管理計畫擬定與執行管理。 2.制定自動檢查計劃並督導有關人員實施。 3.職業災害調查、統計、分析及每月職災申報。 4.環安衛管理系統維持及運作。 5.勞工作業環境監測規劃及實施。 6.辦理在職教育訓練及宣導活動。 7.配合外部機關查核及客戶稽核。 8.內部稽核規劃及實施。 9.相關法規及指引鑑別。 10.化學品管理、分級管理。 11.既有化學品及優先管理化學品申報。 12.相關健康管理督導。 13.四大計畫實施之風險評估。 14.緊急應變規劃及實施(演練及化學品洩漏等…)。 15.承攬商管理、變更管理、採購管理。 16.危險性機械、設備定檢督導。 17.工廠危險物品及公共危險物品申報。 18.廠區巡檢走動管理。 19.其他主管交辦事項。 20.假日廠區環安衛巡查。