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Own live‑die reliability qualification strategy and execution across NAND development nodes and products
Define, review, and approve HTOL, dynamic stress, cycling, and mission‑profile‑based testing using live silicon
Drive early silicon learning to identify cell, array, and peripheral reliability risks
Analyze live‑die reliability data to assess wear‑out, drift, degradation, and failure mechanisms
Correlate live‑die results with bench, array‑level, and product‑level reliability models
Perform risk assessments and clearly communicate reliability margin, gaps, and mitigation plans
Work closely with Design, TD, PE, Failure Analysis, and Product Engineering teams
Provide design and process feedback based on live‑die reliability findings
Support technology readiness, design reviews, and release decisions with data‑backed recommendations
Improve live‑die reliability methodologies, coverage, and efficiency
Drive standardization of test conditions, pass/fail criteria, and reporting
Mentor junior engineers and contribute to DDQA best practices
Experience Requirements
5+ years of semiconductor engineering experience, with strong exposure to NAND device, circuit, or system reliability, quality engineering, or product qualification in an advanced technology node environment.
Hands‑on experience working cross‑functionally with Technology Development (TD), Design Engineering (DE), Product Engineering (PE), and Manufacturing/Fab teams to resolve complex reliability risks and drive data‑based decisions.
Strong data analysis capability, including mining large datasets, detecting abnormal trends, calculating reliability metrics (e.g., FIT, DPM), and translating results into actionable recommendations for leadership.
Effective written and verbal communication skills, including experience authoring technical reports, presenting to diverse technical and leadership audiences, and facilitating cross‑functional reviews.
Education Requirements
Bachelor's degree in Electrical Engineering, Materials Science, Physics, Semiconductor Engineering, or a closely related technical discipline is required.
Master's degree or PhD in a relevant engineering or physical science field is strongly preferred, particularly with a focus on device physics, reliability engineering, or semiconductor materials.
Manages production support engineering for a specific product or group of products after transfer from design to high volume production. Interfaces with design, process, test and reliability engineering to solve problems. Sustains products with cost reduction and yield improvements.
Job ID: 147096031
Skills:
quality engineering, Data Analysis, product qualification, system reliability, reliability metrics
Skills:
Data Analysis, Risk Assessment, HTOL dynamic stress cycling
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