Work with IC design and test teams to create and review test plans,including providing recommendations for DFT & DFQ, test & debug visibility, manufacturability plan etc
Work with IC design and test teams to create and review test plans,including providing recommendations for DFT & DFQ, test & debug visibility, manufacturability plan etc
Work with IC design and test teams to create and review test plans,including providing recommendations for DFT & DFQ, test & debug visibility, manufacturability plan etc
Work with IC design and test teams to create and review test plans,including providing recommendations for DFT & DFQ, test & debug visibility, manufacturability plan etc
Support, provide technical leadership, prioritize activities to support Operational WFM deviation analysis/ drive Operation execution through lot scheduling and dispatch performance with commendable problem-solving approach, effective communication, negotiation skills with HPB guiding principles.
Support, provide technical leadership, prioritize activities to support Operational WFM deviation analysis/ drive Operation execution through lot scheduling and dispatch performance with commendable problem-solving approach, effective communication, negotiation skills with HPB guiding principles.
Drive & execute EE Surface Treatment & Metrology planned maintenance and equipment improvement to ensure target defined within area of influence is achieved
Defining test, evaluation, and characterization solutions for new products to ensure that they meet performance requirements and reliability standards.
Initiate/lead yield and quality improvement programs within PMX Lots’ assessment & disposition to ensure quality of products delivered to customers meet Infineon’s quality and reliability standard
Serve as the Quality Engineer for assigned product technologies and manufacturing processes, ensuring compliance with quality requirements and customer expectations.
AI Project Collaboration: Collaborate with experienced AI engineers and data scientists on projects involving Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Conversational AI, and AI Inference.