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Position Overview
This role focuses on using process and defect simulation methodologies to systematically identify defect root causes (true RC) and enable process window optimization. As part of the RDA / Yield Engineering organization you will work on high-impact projects that connect process physics simulation results and manufacturing data to improve process capability and final product yield. This is an exciting opportunity for engineers passionate about linking simulation with real fab problems and turning modeling insights into measurable manufacturing improvements.
Responsibilities
Develop and apply process / defect simulation models to understand defect generation mechanisms across key wafer fabrication steps.
Correlate simulation results with inline defect EBI process data and yield indicators to identify true root causes of defects.
Drive data-backed process optimization strategies to expand process windows and improve yield and reliability.
Perform what-if simulations to evaluate the impact of process parameter changes material variations or equipment conditions.
Partner with process integration and equipment engineers to translate simulation insights into fab-implementable actions.
Lead or support defect reduction yield improvement and cost reduction projects using structured problem-solving methodologies (FA FMEA DOE SPC 8D).
Support new process introduction (NPI) and baseline qualification by assessing defect risks through modeling and simulation.
Document models assumptions and results; continuously improve simulation methodologies and best practices.
Masters degree in Engineering (Semiconductor Materials Chemical Mechanical Electrical Physics) or related field.
Hands-on experience in semiconductor process engineering yield engineering defect analysis or simulation-related roles.
Strong analytical mindset with proven experience in process defect root cause analysis.
Ability to analyze and interpret manufacturing and process data (inline metrology defect yield) and translate results into clear technical conclusions.
Strong communication skills with the ability to explain complex simulation results and physical insights to cross-functional engineering teams.
PhD or advanced Masters degree in Engineering Physics or a related discipline.
Experience with process defect or physical modeling and simulation tools (e.g. TCAD process simulation statistical modeling or custom-built models).
Familiarity with yield modeling defect density analysis and process window optimization methodologies.
Experience integrating simulation outputs with SPC inline metrology defect inspection or yield analysis data.
Demonstrated track record of successfully applying simulation or analytical approaches to deliver measurable defect reduction or yield improvement.
Knowledge of semiconductor manufacturing change management risk assessment and internal or customer audit requirements.
About Micron Technology Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers technology leadership and manufacturing and operational excellence Micron delivers a rich portfolio of high-performance DRAM NAND and NOR memory and storage products through our Micron and Crucial brands. Every day the innovations that our people create fuel the data economy enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience.
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Required Experience:
IC
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