Global Quality Product Quality and Reliability Engineer

About Micron Technology, Inc.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence.

About the Role

As a Non-Volatile Memory QRA (NVMQRA) Solid State Drive (SSD) Quality and Reliability Engineer, you will be responsible for managing the quality and reliability of Micron SSD products as they enter the high volume production phase of the product lifecycle.

Key Responsibilities

• Manage reliability evaluations for deviation management:
• Determine a reliability evaluation/trials plan.
• Identify and manage material for sampling.
• Perform data analysis of reliability tests results and/or by conducting failure analysis.
• Close out evaluation and provide feedback to stakeholders.
• Identify deviated material within Material Review Board (MRB):
• Take part in containment activities.
• Determine a reliability evaluation/trials plan.
• Identify and manage material for sampling.
• Perform data analysis of reliability tests results and/or by conducting failure analysis.
• Determine disposition of materials.
• Close out evaluation and provide feedback to stakeholders.
• Manage and coordinate various inputs from various stakeholders in Quality Reliability:
• Collaborate with discrete component product quality and reliability team for product reliability evaluations/trials/plans.
• Collaborate with package quality and reliability team for package-related reliability evaluations/trials/plans.
• Manage Product Outgoing Quality and Reliability Monitoring (OQRM):
• Provide the plan for operations to execute for SSD product OQRM data collection.
• Analyze data from Micron Manufacturing Execution System (MES) such as MAM.
• Use statistical analysis tools to provide conclusions and verify results.
• Summarize the results of analyzed data through a regular OQRM metrics report.
• Digital & AI Tool Usage:
• Leverage AI-powered tools (e.g., Microsoft Copilot, agentic AI platforms, and other generative AI solutions) to enhance engineering effectiveness, automate routine tasks, analyze large datasets, and improve decision quality.
• Drive adoption of AI-enabled workflows to increase productivity, reduce cycle time, and improve knowledge sharing within the organization.
• Provide Expertise, Consultation and Training:
• Communicate globally with NAND, Firmware, BUs, and Engineering Groups for priority management.
• Provide training to engineers and technicians within and outside of the group.
• Maintain knowledge base (lessons learned) within the group for each SSD market segment.
• Stay abreast of Quality and Reliability issues of Micron NAND components.
• Provide consultation for audits, RMA, and customer issues.
• Conduct failure analysis from qualification, evaluation, and OQRM failures and report the resulting data.
• Conduct global meetings to determine product priorities or product dispositions.
• Work with various Engineering and Quality Reliability Assurance Groups to provide technical support, expertise, consultation, and training.
• Support customers both internal and external to Micron on an ongoing basis.

Education

• Required: Master's Degree in Electrical, Electronics, Computer Engineering, or a related field.
• Desired: PhD in Electrical, Electronics, Computer Engineering, or a related field.
• Candidates with a Bachelor’s degree and strong academic performance, relevant internships, research projects, or semiconductor-related experience may also be considered.

Experience

• Exposure through coursework, academic research, internships, co-op programs, or project work in one or more of the following areas is preferred:
• Solid State Drive (SSD) products and storage technologies.
• Non-Volatile Memory (NAND, NOR, UFS, eMMC, SSD) technologies.
• Semiconductor device engineering.
• Semiconductor process integration engineering.
• Semiconductor quality and reliability engineering.
• Experience applying engineering principles to solve complex technical problems through academic, research, or internship projects.
• Demonstrated ability to effectively utilize Generative AI and Agentic AI platforms (e.g., Microsoft Copilot, Claude, ChatGPT, or equivalent tools) to improve productivity, automate routine tasks, accelerate data analysis, and enhance technical documentation.
• Comfortable leveraging AI-assisted tools in daily engineering activities while exercising sound technical judgment, critical thinking, and responsible data handling practices.
• Strong willingness to learn, adapt, and work in a fast-paced semiconductor product development environment.

Qualifications

• Fundamental knowledge of semiconductor manufacturing and wafer fabrication processes.
• Fundamental understanding of semiconductor device physics.
• Basic understanding of NAND flash memory architecture and operation.
• Basic understanding of Solid State Drive (SSD) architecture and operation.
• Familiarity with storage interface standards such as SATA, PCIe, and NVMe through coursework, projects, or internships.
• Understanding of engineering statistics and reliability concepts.
• Strong analytical, troubleshooting, and problem-solving skills.
• Effective written and verbal communication skills.
• Ability to learn new technologies quickly and collaborate effectively in a cross-functional global team environment.