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 Product Development Failure Analysis (PDFA) team plays a critical role in bringing next-generation High Bandwidth Memory (HBM) products from initial design through high-volume manufacturing. The team partners closely with Product, Process, Quality, and Test Engineering organizations to identify, analyze, and resolve product and process-related issues that impact yield, reliability, and overall product performance.
As an HBM Product Yield Enhancement PDFA Engineer, you will focus on product reliability and component-level failure analysis during new HBM product introductions. You will use electrical characterization, physical analysis techniques, statistical methodologies, and AI-enabled data analysis tools to identify failure mechanisms and drive rapid production ramp. This role requires strong analytical skills, multi-functional collaboration, and the ability to translate complex data into actionable engineering solutions.
Responsibilities- Perform electrical, physical, and statistical failure analysis to identify and understand component failure mechanisms.
- Analyze characterization and manufacturing data to determine root causes of fabrication, assembly, and test-related failures.
- Collaborate with Product, Process, Quality, and Test Engineering teams to resolve yield, reliability, and process defect issues.
- Leverage AI-enabled tools and statistical methods to evaluate large datasets, identify trends, and improve component performance.
- Communicate findings, corrective actions, and risk assessments to multi-functional partners to support successful product qualification and production ramp.
Minimum Qualifications- Bachelor's degree in Electrical Engineering, Computer Science, Physics, Materials Science, or a related technical field, or equivalent experience.
- Experience or coursework in semiconductor device physics, semiconductor manufacturing processes, or VLSI design.
- Demonstrated knowledge of statistical analysis techniques and data-driven problem solving.
- Experience using Python or similar programming languages for data analysis and engineering applications.
- Ability to analyze complex technical data and communicate findings effectively in a collaborative engineering environment.
Preferred Qualifications- Master's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- Academic or industry experience in semiconductor failure analysis, yield enhancement, reliability engineering, or product characterization.
- Experience applying AI, Generative AI, or AI-assisted analytical tools to support engineering investigations and data analysis.
- Knowledge of test methodologies, process integration, and advanced memory technologies, including HBM products.
- Experience working with large datasets and applying statistical software or machine learning techniques to identify failure trends and process improvements.
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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