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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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 [email protected] 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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Skills Required
- Bachelor's degree in Electrical Engineering, Computer Science, Physics, Materials Science, a related technical field, or equivalent experience.
- Experience or coursework in semiconductor device physics, semiconductor manufacturing processes, or VLSI design.
- 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.
- 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 engineering investigations and data analysis.
- Knowledge of test methodologies, process integration, and advanced memory technologies, including HBM products.
- Experience with large datasets and statistical software or machine learning techniques.
Micron Technology Compensation & Benefits Highlights
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Retirement Support — A company 401(k) match with multiple savings options and investment choices supports long‑term financial security. This element stands out as a core strength within the overall package.
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Equity Value & Accessibility — An employee stock purchase plan offered at a meaningful discount and management‑granted RSUs provide accessible ownership opportunities that can bolster total compensation. These programs create upside beyond base pay.
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Healthcare Strength — Multiple medical plan choices with dental, vision, and company‑paid disability and life coverage, plus an EAP and some onsite/near‑site health centers, indicate robust core protection. The breadth of health options is consistently emphasized across the offering.
Micron Technology Insights
What We Do
We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.
Why Work With Us
Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.
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Micron Technology Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options
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