New College Grad - HBM PYE Product Development Failure Analysis Enginee

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Vision plans

Paid time off

Paid holidays

Income protection / disability

Job summary

Micron Technology, Inc. is seeking an HBM Product Yield Enhancement PDFA Engineer to drive reliability analysis for next‑gen High Bandwidth Memory products.

You will perform electrical, physical, and statistical failure analysis and work with product, process, quality, and test teams to resolve yield and reliability issues. Responsibilities include data-driven root cause analysis, AI-enabled data evaluation, and effective communication of findings to multi-functional partners to support

Qualifications

• Bachelor's degree in Electrical/Computer Engineering, Physics, Materials Science or related field (or equivalent experience).
• Experience or coursework in semiconductor device physics, manufacturing processes, or VLSI design.
• Statistical analysis techniques and data-driven problem solving experience.
• Python or similar language for data analysis.

Responsibilities

• Perform electrical, physical, and statistical failure analysis to identify failure mechanisms.
• Analyze characterization and manufacturing data to determine root causes of failures.
• Collaborate with cross-functional teams to resolve yield and reliability issues.
• Leverage AI-driven tools to evaluate large datasets and identify trends.
• Communicate findings and corrective actions to support production ramp and qualification.

Skills

Analytical thinking

Data analysis

Communication

Team collaboration

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or related field

Master's degree preferred

Tools

Python

AI-enabled data analysis tools

Job description

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 Engineering, 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.

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.

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.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.