Yield Analysis Lead (Remote support)

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, we are undergoing a historic expansion with our new fabrication facility in Boise, ID. As a leader in the semiconductor industry, we build solutions that inspire and transform technology. With plans to invest more than $150 billion globally over the next decade in leading-edge manufacturing, we are looking for passionate people to join our Boise expansion team and contribute to the growth and innovation of the semiconductor industry. As a Yield Analysis Module Lead, you will leverage advanced data analytics and deep process knowledge to identify, characterize, and quantify key yield limiters within assigned fab modules. You will lead rigorous investigative efforts to determine root causes of yield excursions, develop and publish actionable yield paretos, and translate complex data into clear technical direction for improvement. Working closely with the YA PTO team, Process Integration, and Process Engineering, you will provide accurate, data-driven guidance to the fab, influence corrective action strategies, and drive sustainable yield improvements. This role offers direct ownership of yield performance and a critical opportunity to impact continuous improvement across the manufacturing line. Responsibilities: Lead and maintain an effective training and development program, providing coaching and mentorship to elevate team proficiency and support growth of direct reports. Collaborate with the Boise YA team and the OMT remote team to receive tasks and facilitate a Passdown post analysis. Proficient in Module based DA, PTO Analysis and Reg E analysis. Track probe yield performance and trends to identify, characterize, and explain gaps between target and actual yields. Perform advanced data analysis to quantify yield issues and generate accurate yield paretos that guide fab priorities and improvement efforts. Apply statistical and data‑mining techniques to identify root causes and uncover opportunities for sustainable yield improvement. Collaborate closely with FA, EFA, and PFA teams to correlate electrical signals, probe signatures, and physical findings into actionable insights for process teams. Partner with module, inline monitoring, and global teams to implement, monitor, and standardize yield fixes, leveraging strong semiconductor process, defect, and metrology knowledge. Minimum Qualifications: Bachelors degree in Electrical Engineering, Materials Science, Physical Science (Physics) or 5+ years of semiconductor experience. 5+ years experience as a Yield Analysis engineer in DRAM manufacturing (HVM environment), semiconductor physics and understanding of transistor operations, scaling limitations and reliability; basic knowledge of CMOS circuits and characterization methods. 2+ experience using at least one software (JMP, Python…etc) Preferred Qualifications: Master's degree in Computer Science or related technical field. DRAM experience 7+ years experience of Yield Analysis in DRAM along with module ownership (HVM preferred), semiconductor physics and understanding of transistor operations, scaling limitations and reliability; basic knowledge of CMOS circuits and characterization methods. AI Relevant Job Responsibilities: - Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. - Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. - Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for researc