關鍵能力
職缺優勢
工作職責
2.管控廠內之生產排程、交期及產量。
3.負責產線作業之規劃與管理,以提升產能降低成本。
4.負責生產人員的工作監督與績效考核。
5.生產各項專案整合及流程改善。
理想人選
2.如有化學化工.電子業.傳統產業經驗尤佳
其他條件
科系:不拘
年資:8年以上工作經驗
出差外派:無需出差外派
公司福利
關鍵能力
職缺優勢
工作職責
理想人選
其他條件
公司福利
-負責集團未來新事業與產品轉型之項目開展研發
-負責帶領及引導集團產品項目統整與開創
-具備高階管理及獨立事業單位利潤中心營運經驗
-熟悉材料及產業發展應用
1. 負責公司產品研發及相應之管理 / 所銷售市場之法規掌握 , 包含但不限於 : 調配 、 分析 、 轉大量生產製造之製程問題解決 、 品質穩定性 、 每產品自開發到量產成功之一應紀錄及歸檔等。
2. 負責督導所轄單位同仁之工作表現 、 進度與相應能力之提升 , 以確保權責管理事務之正常運作並達成部門目標。
3. 具備市場敏感度 , 並有相應之市場分析能力 , 能佐以數據掌握市場趨勢動向尤佳 , 以能為公司提前做相應之準備 、 取得市場先機。
4. 【 無疫情時 】配合職務責任之工作需要 , 出差海內外【 約1~2次 / 年 】。
• Lead a team to develop new cleaning formulations for worldwide semiconductor customers
• Explore new formulation platform and new components through establishing fundamental understanding, data analysis, result interpretation, and design experiment
• Design and perform studies to characterize the interaction between a liquid solution and a solid surface, including metal, metal oxides and dielectric materials
• Collaborate with external partners and academic institutions on development of new methodology for characterzing surface chesmitry.
• Establish new methodology for tackling customers’ critical issues and support application developement
• Management of formulation development activities for cleaning solutions ranging from timelines, project planning and coordination of studies with other groups
• Collaborate with process engineers to design and conduct commercial process development studies, such filtration and purification
• Authorin
1. Be the team manager to promote and drive smart factory implementation
2. Perform team lead for new KM development and performance improving
3. Drive smart factory related team structure build up, KPI/ target setting, coaching team development and management
4. Design and implementation of artificial intelligence and machine learning solution that support Fab/business/RD.. functions to improve the manufacturing productivity and engineering development
5. Co-work with user team from ML problem formulation, modelling to error analysis based on modelling result. Be able to perform data analysis through ML techniques, including various data types, such as: numeric, text and images and communicate with domain users for ML findings.
6. Perform the judgement of whether the business problems can be solved through Machine Learning and communicate the result with domain users for model explanation or error analysis.
7. Determine current and future manufacturing process improv
1. 帶領軟體軟體團隊開發Cloud/Iot相關之solution,並管理部門日常活動。
2. 管理整個軟體開發專案之流程
3.了解市場和客戶需求,思考合適之解決方案,協助整體資訊之發展與應用。