As a PDE Central Yield Enhancement (YE) Engineer within Package Development Engineering (PDE), you will own and execute yield learning and improvement activities across advanced package technologies during HBM and NCG New Product Introduction (NPI). Your scope includes yield monitoring, excursion response, and yield stabilization, with an emphasis on rapid learning, early risk identification, and scalable solutions.
This role plays a key part in driving robust yield performance from first silicon through NPI ramp and early HVM, partnering closely with Process Integration (PI), MRDA, Process Engineering, Assembly/Test Manufacturing and Quality teams. You will act as a hands‑on yield owner for NPI builds, translating data into actionable insights, driving fast learning cycles, early risk detection, and leading disciplined yield recovery.
Job Responsibilities
Yield Loss Accounted For
Yield Deviation Control
Yield Improvement Opportunities
Integrating Artificial Intelligence
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements
Job Requirements
Bachelor's or Master's degree in Electrical/ Electronics Engineering/ Computer Engineering / Computer Science with 2 to 5 years of experience in semiconductor industry, specifically involving yield analysis, defect/root cause investigation, or data-driven process optimization in advanced memory (HBM, DRAM, NAND) or high-volume semiconductor packaging.
Proficiency in Python (e.g., Pandas, NumPy) and SQL for semiconductor manufacturing data analysis, with hands-on experience developing interactive dashboards and visual reports using tools (including Spotfire and Power BI/Tableau) to translate large manufacturing datasets into actionable yield and process improvement insights.
Demonstrated experience building automated reporting workflows, data pipelines, or process automation solutions using Python scripting or RPA tools within a semiconductor manufacturing environment, with the ability to drive cross-functional decisions across manufacturing, process integration, and engineering teams in the semiconductor industry.
Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes
Embody Micron’s Core Values