[2027正職及預聘] 製造部課長 Manufacturing Supervisor

▋ 關於德州儀器
德州儀器(TI)是位居類比晶片世界領導地位的半導體設計與製造公司，持續提供創新及頂尖的半導體技術與產品，協助客戶開發最先進的電子產品。除此之外，TI也針對在校學生及初入社會新鮮人設計完整的培訓制度與挑戰性的工作內容，並提供具競爭力的薪資與福利、完善的升遷管、輪調培訓計畫以及活潑與國際化的工作環境。

▋ TI輪調培訓計畫
TI針對新鮮人提供全面且扎實的系列培訓課程，透過課堂及工作日常的任務，將TI的核心理念傳達給新人。另外，TI亦提供完整的輪調計劃，透過給予新人不同職務內容的學習，使其能在公司有更多成長及發展的機會。
歡迎至TI職涯官網 http://careers.ti.com/taiwan/ 搜尋更多相關內容。

▋ About the job
As a manufacturing supervisor, you are a team leader of operators in clean room semiconductor factory environment. It requests sense of urgency with flexibility and positive mindset to handle multiple tasks in daily operation. You will be responsible for factory key indices to achieve business goal with continuously improvement activity on people management, production automation, productivity, operation quality and production flow efficiency.

You are also a team player that will need to cooperate with different function team member to lead or adopt the change. Good communication soft skill and ability to influence others are also required for this candidate.

Responsibilities include:

Leadership & Operations:
● Manage operation group in semiconductor manufacturing factory to achieve manufacturing objectives
● People resource management, resource allocation and optimization
● Motivate, coach, and conduct training for operation group
● Sense of urgency to escalate production issues in a timely and effective manner

Process Optimization:
● Optimize, develop, implement and maintain methods, operation sequences, equipment layout, and processes in wafer fabrication
● Drive cycle time to meet customer needs and improve overall productivity
● Quality continuous improvement on people execution to prevent human error scrap and SOP optimization
● Lead and implement changes to continuously improve factory automation, new product introduction, productivity, cost reduction, and efficiency
● Operation layout optimization and tool utilization improvement

Data Analysis & Continuous improvement:
● Provide capacity analysis and cost analysis support for management decision making
● Estimate manufacturing cost, determine time standards, and make recommendations for tooling and process requirements
● Interface with engineering, manufacturing, and planning teams to coordinate release of new methods, flows, and processes
● Analyze large datasets and create actionable insights for continuous improvement