Question
10+

(竹北) CAD AI Program Manager

7/30/2025

Lead the development strategy for AI applications within the CAD team, focusing on workflow analysis and AI implementation planning. Collaborate with various departments to identify AI use cases and manage project timelines and risks.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

Chinese

Visa Sponsorship

No

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

作為華邦的(竹北) CAD AI Program Manager ,

 

[職位簡介]
主導 CAD 團隊內部的 AI 應用發展策略,負責分析工作流程痛點、規劃 AI 導入計畫、整合跨部門資源,並協助帶領 AI 工程團隊實作與部署。

[工作內容]
1. 規劃 AI 在 CAD 領域的導入策略,建立技術 roadmap
2. 與設計部門、IT、資料科學小組協作,識別 AI 導入場景並取得實作資源
3. 管理 AI 專案時程與風險,追蹤模型成效並推動落地應用
4. 主導數據資源整合與標註流程設計
5. 指導 AI 工程師技術路線與開發優先順序


工作地點:竹北辦公室(新竹縣竹北市文興路二段539號)
聘僱性質:全職


【條件要求】

學歷要求:碩士
科系要求:電機電子工程相關  │ 資訊工程相關  │
相關經驗:10年以上
語言能力:英文  高級  │    │  
管理責任:Yes
輪班需求:No
出差需求:1個月以下
外派需求:No
其他條件:

1. 10年以上半導體設計流程、CAD 自動化或 IT 專案管理經驗
2. 熟悉 AI/ML 技術實務與導入流程具5年以上直接經驗(含資料標註、模型開發、平台部署)
3. 具備領導 AI 專案或跨部門技術整合經驗
4. 熟悉至少一類 EDA 工具(如 Calibre, Virtuoso, Hspice, Verdi)

#LI-LL1

Key Skills
AI Application DevelopmentWorkflow AnalysisAI Implementation PlanningCross-Department CollaborationProject ManagementRisk ManagementData Resource IntegrationModel Performance TrackingTechnical GuidanceEDA Tools FamiliarityAI/ML Technology KnowledgeTeam LeadershipData AnnotationModel DevelopmentPlatform Deployment
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