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【2026 WinTern ─ AI領航計畫】暑期實習-生產排程 AI 應用與實作實習生 (高雄)

CompanyWinbond Electronics Corporation
LocationKaohsiung
Work ModeOn Site
PostedMay 28, 2026
Internship Information
Core Responsibilities
Establish and analyze production data to build and integrate manufacturing systems. Responsibilities include developing shipment prediction models and supporting AI projects related to production scheduling and manufacturing efficiency.
Internship Type
full time
Company Size
1539
Visa Sponsorship
No
Language
Chinese
Working Hours
40 hours
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About The Company
Winbond Electronics Corporation is a leading global supplier of semiconductor memory solutions. The Company provides customer-driven memory solutions backed by the expert capabilities of product design, R&D, manufacturing, and sales services. Winbond's product portfolio, consisting of Specialty DRAM, Mobile DRAM, Code Storage Flash, and TrustME® Secure Flash, is widely used by tier-1 customers in communication, consumer electronics, automotive and industrial, and computer peripheral markets. Winbond is headquartered in Central Taiwan Science Park (CTSP), and it has subsidiaries in the USA, Japan, Israel, China, Hong Kong, and Germany. Based on Taichung and Kaohsiung 12-inch fabs in Taiwan, Winbond keeps pace to develop in-house technologies to provide high-quality memory IC products.
About the Role

【職務名稱】【2026 WinTern ─ AI領航計畫】暑期實習-生產排程 AI 應用與實作實習生 (高雄)

【工作地點】高雄(高雄市路竹區後鄉里10鄰路科五路35號) 

【工作內容】
作為華邦的【2026 WinTern ─ AI領航計畫】暑期實習-生產排程 AI 應用與實作實習生 (高雄),你將負責建立並分析生產相關資料,進行製造系統的建置、整合與執行。工作內容包含:
1. 透過數據科學分析, 解析影響生產指標因子
2. 協助建立出貨預測模型,驗證模型結果,提出可行的參數調整與改善建議
3. 進行資料清理、統計分析與結果視覺化,產出分析報告
4. 支援團隊進行生產排程與製造效能相關的 AI / data analysis 專案

【條件要求】
學歷要求:大學
科系要求:工業工程相關 │ 資訊管理相關 │ 資訊工程相關
相關經驗:不拘
語言能力:中文 中級 │ 英文 中級 │
管理責任:No
輪班需求:No
出差需求:無
外派需求:No
其他條件:
1.具 Python / SQL / Excel 資料分析經驗者佳
2.了解基本統計方法與 machine learning 概念者佳
3.對半導體製造、生產排程或 AI 應用有興趣者佳

**此職位為暑期實習,實習期間為7/1(三)-8/31(一)
 

Key Skills
PythonSQLExcelData AnalysisMachine LearningStatistical AnalysisData VisualizationProduction Scheduling
Categories
Data & AnalyticsEngineeringManufacturingTechnologySoftware