About the role

AI summarised

As a Senior NAND Reliability Product Engineer at Micron Technology in Singapore, you will define and implement reliability test flows for NAND Flash products, perform high-volume statistical data analysis, drive electrical failure analysis, and collaborate across Fab, design, and quality teams to ensure product reliability. You will also mentor engineers, integrate AI-assisted tools, and support customer inquiries related to product reliability.

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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
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
Integrate 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
Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work
Apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes
Support customer inquiries and provide technical insights related to product reliability
Mentor engineers, fostering a culture of continuous learning and development
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
Minimum 4 years of related work experience
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