Yield Enhancement Engineer Jobs (NOW HIRING)

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.

Micron's Mask Technology Center (MTC) develops and manufactures advanced photomasks that enable semiconductor device fabrication across Micron's global manufacturing network. The Yield Enhancement team identifies, analyzes, and reduces yield loss through data-driven problem solving, statistical analysis, and continuous improvement.

The intern will improve manufacturing performance through advanced analytics, statistical modeling, automation, and AI-enabled problem solving. The role analyzes large manufacturing datasets, develops predictive insights, automates reporting, and explores AI-based approaches that strengthen engineering decisions and operational performance.

Key Responsibilities

• Analyze manufacturing, process, quality, and yield data to identify trends, anomalies, and improvement opportunities.
• Develop dashboards, visualizations, and automated reports that support operational decision-making
• Apply statistical methods and machine learning to investigate yield loss mechanisms and process variation
• Collaborate with Yield Enhancement, Process Engineering, Process Integration, and Manufacturing teams on process optimization.
• Deliver one end-to-end analytics project with measurable impact through yield improvement, cycle-time reduction, reporting automation, or improved decision support.

Minimum Qualifications

• Pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Industrial Engineering, Engineering, or a related quantitative discipline.
• Senior undergraduate student or higher by the internship start date. Cannot graduate prior to September 2027.

Preferred Qualifications

• Machine learning, AI, predictive analytics, or data science project experience.
• Experience with Tableau, Power BI, JMP, or similar visualization tools.
• Exposure to semiconductor manufacturing, process control, quality engineering, industrial analytics, or AI-assisted workflows.

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 micron.com/careers/benefits.

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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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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