Micron (San Jose ops) · San Francisco
Hardware & Electrical
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.
As a PYE Engineer, you will work on the Product Yield Enhancement Failure Analysis team to support legacy DRAM products throughout their manufacturing lifecycle. You will focus on yield improvement, product reliability, and component failure analysis to identify and resolve issues, enable stable production, and support quality requirements for industrial and automotive customers.
Your responsibilities will require using electrical and physical characterization techniques combined with AI supported workflows and statistical data analysis to identify failures related to fabrication and assembly process, as well as testing marginalities. You will be responsible for communicating and coordinating component-level improvement activities with Product, Process, Quality and Test Engineering teams.
Job Duties
Perform electrical failure analysis to understand failure mechanisms
Identify causes of component failures through statistical data analysis
Work closely with cross-functional engineering teams to resolve fabrication and assembly process defect related issues and test flow marginalities
Use statistical data analysis, data visualization, and AI tools to identify trends, accelerate root cause investigations, and improve component performance
Communicate findings clearly through written reports and presentations
Minimum Qualifications:
At least a bachelor’s degree in Electrical or Computer Engineering, Physics, or Materials Science with a solid academic record
Coursework in VLSI, device physics, semiconductor process, programming, and statistics is desirable
Familiarity with AI tools and a willingness to adopt new technologies and workflows
Preferred Qualifications:
Strong problem-solving and analytical skills
Ability to work well in a team environment and good written and verbal communication skills
Self-motivation and enthusiasm for learning new technical areas
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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