About the role

AI summarised

This role is for a NAND Reliability Product Engineer at Micron, a semiconductor company. The engineer will define and implement reliability test flows, perform statistical data analysis, drive electrical failure analysis, and collaborate with cross-functional teams to ensure robust product reliability for NAND Flash products.

IDMFull-timeSTPG

Key Responsibilities

Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.
Perform high-volume statistical data analysis to evaluate NAND intrinsic reliability risks and trends.
Drive electrical failure analysis, including advance characterization, to identify root causes and solution spaces.
Develop short-term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.
Qualify the product with innovative control measures to provide best in Class and Cell reliability.
Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high-quality end products.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.
Support customer inquiries and provide technical insights related to product reliability.
Drive strategic initiatives to enhance the overall reliability program and influence the direction of future product development.

Requirements

Bachelor's degree or higher in Electrical Engineering or related field.
Fundamental knowledge of semiconductor devices, reliability, failure analysis, and statistics.
Basic understanding of NAND technology and memory architectures.
Experience with AI tools, LLMs, data analysis tools (e.g., Python, JMP, Tableau).
Strong analytical and problem-solving skills.
Team player and self driver.