Engineer - NAND Reliability Product STPG PE

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 aligning 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.

• Ability to 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.

• Drive critical initiatives to enhance the overall reliability program and influence the direction of future product development.
  

  Qualifications And Skills:

  • Bachelor’s degree  or Master’s degree  with of relevant experience in Electrical Engineering or related field

  • Knowledge in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.

  • Understanding in Design, Device Physics, Circuits,  Process.

  • Strong statistical analysis, communication, and problem‑solving skills.

  • 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.