Summarizes findings in clear, concise reports (images, defect location, likely root cause) and communicates them to part owners and YE/Fab engineers.
Lab Equipment Operation
Learns to operate PFA lab equipment safely and efficiently, following defined safety and contamination-control guidelines.
Builds an understanding of how the equipment works and supports basic troubleshooting with equipment owners.
Internship Project and Continuous Improvement
Owns a focused, short-term project that fits a 3-month timeline and presents the outcome to the team and leadership at the end of the internship.
Completes all required safety and equipment training certifications defined by area guidelines.
Builds technical knowledge of device structure, process flow, and failure mechanisms for current and future parts.
Suggests improvements for the department and participates in team projects that support department and company objectives.
AI-Enabled Analysis and Productivity
Uses approved AI and digital productivity tools (e.g., Microsoft Copilot) to work more efficiently on data analysis, image/report generation, knowledge retrieval, and problem-solving.
Uses AI tools to speed up documentation, communication, and investigation workflows while keeping data accurate and applying engineering judgment.
Uses AI technologies responsibly, following company policies, data protection requirements, and intellectual property safeguards.
- Schedule
- 3-month full-time internship, day shift (Monday–Friday).
Education
Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Materials Science & Engineering, Physics, Chemical Engineering, or a related field.
Qualifications
Basic understanding of semiconductor devices and fabrication processes.
Hands-on lab experience is a plus (e.g., microscopy, SEM/FIB, sample preparation, cleanroom).
Strong attention to detail and good analytical and problem-solving skills.
Clear written and verbal communication; able to summarize technical results simply.
Familiarity with data tools (Excel, JMP, Python, etc.) is preferred.
Experience
No prior industry experience required. Previous internships or research projects in semiconductor or failure analysis are preferred.
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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