Micron Technology

Principal NAND Reliability Product Engineer

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 week ago

About the role

AI summarised

As a NAND Reliability Product Engineer, you will be responsible for defining, evaluating, and safeguarding the Extrinsic/Intrinsic reliability of Micron’s NAND Flash products. This role requires deep technical ownership at the intersection of device physics, circuits, process technology, and product engineering, involving hands-on large-scale data analysis and electrical failure analysis to ensure robust 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 DPM and 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 DPM and Cell reliability.
  • Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to enable shipment of high-quality end products.
  • Support customer inquiries and provide technical insights related to product reliability.
  • Mentor junior engineers, fostering a culture of continuous learning and development.

Requirements

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