Principal NAND Reliability Product Engineer

Our client is a global technology leader specializing in advanced memory and storage solutions that power next-generation computing and data-driven applications. With strong expertise in semiconductor innovation, the organization develops high-performance memory technologies across DRAM, NAND, and storage platforms for applications spanning data centers, artificial intelligence, mobile devices, client computing, and intelligent edge ecosystems.

Driven by a commitment to technology advancement, operational excellence, and customer-centric innovation, the company plays a significant role in enabling modern digital infrastructure and compute-intensive workloads worldwide.

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.

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. 
• Experience with application of AI tools, LLMs , data analysis tools (e.g., Python, JMP, Tableau)
• Strong statistical analysis, communication, and problem solving skills.
• Experience in leading cross functional projects and mentoring junior engineers.
• Strong analytical and problem solving skills.
• Team player and self driver.