About the role

AI summarised

Principal NAND Reliability Product Engineer at Micron, a semiconductor memory company. Responsible for defining and evaluating NAND Flash product reliability through test flows, statistical data analysis, and electrical failure analysis, while collaborating with cross-functional teams and integrating AI tools.

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 DPM/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 DPM 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.
Mentor junior 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 with > 10 years or Master's degree with > 7 years or PhD with > 5 years of relevant experience in Electrical Engineering or related field
Experience in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.
In depth background in NAND Design, Device Physics, Circuits, Process, Test, Validation.
Strong statistical analysis, communication, and problem-solving skills.
Experience in leading cross functional projects and mentoring junior engineers.
Experience with application of AI tools, LLMs, data analysis tools (e.g., Python, JMP, Tableau).
Strong analytical and problem-solving skills.
Team player and self driver.