Yield Analysis Engineer

Req ID:

JR111117 Yield Analysis Engineer

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.

The Boise Expansion Team is helping build the future of semiconductor manufacturing as Micron expands its leading-edge memory production in Boise, Idaho. We are a collaborative organization focused on innovation, operational excellence, and continuous improvement. Join a team where your work will directly influence product quality, manufacturing performance, and the next generation of technology.

As a Yield Analysis Engineer, you will play a key role in improving fab yield through advanced data analysis, defect characterization, and root cause investigation. You will work closely with Process Integration, Process Engineering, and Failure Analysis teams to identify yield limiters, drive corrective actions, and deliver sustainable yield improvements. This role offers the opportunity to combine semiconductor expertise, analytics, and AI-enabled tools to solve complex manufacturing challenges.

Responsibilities:

• Monitor probe yields and trends to identify yield excursions, characterize yield loss, and explain gaps between target and actual performance
• Perform advanced data analysis and develop yield paretos to prioritize issues and guide factory yield-improvement efforts
• Apply statistical methods and data-mining techniques to identify root causes and uncover opportunities for process improvement
• Partner with Failure Analysis, Process Integration, and Process Engineering teams to correlate electrical, physical, and manufacturing data and drive issue resolution
• Develop and share best known methods, automation solutions, and analytical approaches across global teams to improve yield performance

Minimum Qualifications:

• Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field
• 3+ years of semiconductor manufacturing experience
• 2+ years of experience in semiconductor physics, transistor operation, device scaling, reliability, CMOS circuits, and characterization methods
• 2+ years of experience using data analysis tools such as JMP, Python, or similar software
• Experience using AI, machine learning, or generative AI tools to enhance data analysis, automate workflows, and improve engineering productivity

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, or a related technical field
• DRAM manufacturing experience
• 2-4 years of experience in Yield Analysis or RDA within a high-volume manufacturing environment
• Experience with defect inspection, metrology, process control, and failure analysis methodologies
• Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives

Job Profile(s):

Semiconductor Process Engineer 3

Relocation Level: TBD

Before Getting Started

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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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