NAND Reliability Engineer: AI-Driven Data & Failure Analysis

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore

On-site

SGD 90,000 - 140,000

Full time

7 days ago

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Job summary

Micron Semiconductor Asia Operations Pte. Ltd. invites applications for a NAND Product Engineer responsible for defining, evaluating, and safeguarding the Extrinsic/Intrinsic reliability of NAND Flash products.

You will work hands-on with large-scale data analysis, electrical failure analysis, and cross-functional teams to ensure robust product reliability and prevent escapes to customers. This role offers deep technical ownership at the intersection of device physics, circuits, process

Qualifications

Bachelor’s degree 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 leading cross-functional projects and mentoring junior engineers.
Experience with AI tools, LLMs, data analysis tools (e.g., Python, JMP, Tableau).
Team player and self-driver.

Responsibilities

Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent escapes.
Perform high-volume statistical data analysis to evaluate NAND DPM/intrinsic reliability risks and trends.
Drive electrical failure analysis, including advanced 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 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 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.
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.