轉職熱搜工作

1.DFM及新產品期間客戶專案統籌 2.新耗材、新工藝、新技術的統籌 3.DFM客戶會議主導 4.DFM年度評審主導 5.國外客戶接洽及DFM推動改善 6.客戶關係管理及維護

Job Summary: The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities: • Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.

Responsible for End To End Quality, including yield improvement, New Product Introduction and new line qualification, abnormality handling with CLCA, customer interface (audit, RMA, complaint,..), ECN control, and other quality related issue.

【工作內容】 MES 製造執行系統-Manufacturing Execution System 1.負責對部門內部專案進行支持、監控和管理，協助部門主管實現專案目標； 2.支撐MES體系執行和改進，關注專案過程執行，識別、推進部門內部過程改善； 3.對部門專案進行管理、監控、審計和彙報，幫助專案經理協調、解決專案問題，保證專案順利完成； 4.支援體系流程，支援工具使用，參與流程和工具改進； 5.組織部門級項目立案/結案/外包合同/變更評審…等工作； 6.對專案資料進行匯總和管理，定期上報，為領導決策提供資料支援； 7.支撐專案KPI績效考核； 8.建立部門內部知識共用平臺，促進部門專案管理能力提升； 9.培育專案管理幹部，避免組織人員異動影響專案時程或組織； 10.支援海外相關專案導入 11.完成主管交辦事項

1. 建立和完善製程質量管理體系，監督過程PPAP/ 5M1E變更管理 2. 製程品質風險識別和改進 3. 製程品質團隊管理和能力建設 4. 指導各階段品質標準的制定和維護 5. 指導生產過程中品質異常分析與改進 6. 工作流程、方法、工具、系統的優化和完善 7. 內外部品質相關標準拉通

‘- Serve as a PM for Product Design team. - Working closely with customers and back-end teams to create quality products - Providing design insight and innovative ideas to teams - Supporting customers through out the design and manufacturing stages with organized reports and efficient management of resources.

【工作內容】 1.資訊機房維運管理，熟悉虛擬主機ESXi管理、維護與備份。 2.伺服器、網路規劃、維護與管理。 3.系統事件處理、日誌監控分析與管理。 4.資訊安全管理系統執行及持續改善。 5.支援IT專案任務及主管交辦事項。 6.熟悉電腦與伺服器硬體與規格，TCP/IP網路、防火牆、Router、Switch、VPN。 7.Kubernetes/Openstack/Red hat 管理、維護與備份。

1.負責ARM M系列處理器的韌體維護與開發 2.建立和管理韌體設計和驗證團隊 3.主導光模塊嵌入式韌體和引導程式設計 4.熟悉硬體設計與電路原理，能與客戶緊密合作 5.維護韌體驗證和故障分析流程