1. 負責廠務各項系統運轉維護管理及工程改善，提供穩定的維運工作（水電特殊氣體、空調集塵、廢純軟水處理、消防勞安）
2. 工程規劃、改善與效能提升
3. 依廠務日常管理要項執行工廠機械設備、工作環境維護等的基本庶務
4. 支援廠務系統輪值，品質/供應量穩定供應。

1. Defect 報表讀取/分析/異常 rootcause analysis
2. 製程參數分析設定與優化
3. 協助處理線上異常狀況
4. 系統SPC 流程確認 異常處裡OCAP 處理
5. 未來ATT1 Bumping 5F 自動化 PCN 設立

1.Issue ALR (abnormal lot) to customer and follow up
2.Review 8D report action and discuss 8D report with customer
3.Customer complaint issue handling ( drive factory to investigate each issue and host meeting with customer)
4.Customer spec review and discussion with both factory and customer
5.Process change notificaiton (PCN) follow up
6.Attending customer visit and audit
7.Customer special requirement follow up
1英文聽說讀寫精通(TOEIC 700分以上)
2.歡迎新鮮人；具一年以上半導體製程及品質問題處理之經驗佳。
3.具MRB/8D report/QC 7 tools 經驗佳
4.具Assy & Testing house QE expcerience 1年以上佳
5.具Audit經驗佳

1. Defect Classification Model Development: o Collaborate with cross-functional teams to implement, train and model an AI-based defect classification model. o Train the model using labeled data to recognize different types of defects (e.g., scratches, misalignments, foreign materials). Optimizethe model’s performance by fine-tuning hyperparameters and adjusting training parameters.
2. Library Building: o Create a comprehensive library of labeled images representing various defects. o Organize the library for easy retrieval and use by the AI system. o Continuously update the library with new examples to enhance the model’s capabilities.
3. Efficiency Enhancement: o Implement the defect classification model within the production process. o Monitor its performance and identify opportunities for efficiency gains. Collaborate with production teams to integrate the model seamlessly into existing workflows.
4. Data Accuracy and Quality Assurance:o Validate the accuracy of the model’s predictions against ground truth data. Address any discrepancies or false positives/negatives. Regularly evaluate and improve the model’s accuracy through iterative training.
5. Manpower Reduction: o Aim to reduce manual inspectione fforts by automating defect detection. Train productionstaff on using the ADC system effectively.
6. Inline Processing and Analysis: o Implement the model forreal-time defect detection during inline processing. o Analyze results and provide feedback for continuous improvement.
7. Data Collection and Sampling: o Collect and preprocess data for training and validation. Ensure data diversity to cover various defect scenarios. o Develop sampling strategies to maintain a balanced dataset.
8. Training User Interface (UI): o Design and develop an intuitive UI for training the model. o Include features for label assignment, parameter configuration, and basic anomaly trou bleshooting.

1. 新產品導入及流程驗證
2. 產品分析報告
3. 報表製作及工程分析
4. 線上異常分析及處理

1. NPI related
2.Technique support to customer
3.Process development with customer
4.Customer quality issue handling
5.Customer Audit handling

1. Probe Card 維修Log 判讀
2. Probe Card 工顯量測、針況檢查、歸庫等流程作業
3. Probe Card 日常保養
4. 與工程單位合作解決異常問題
5. 配合客戶需求進行工程改善
6. 輪班性質 二休二，日班津貼3,000/夜班津貼10,000