Senior Engineer - NAND Reliability 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 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. 

• 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 strategic 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.