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We are looking for an Engineer/Senior Engineer in Product Engineering, NAND Validation, specializing in functional and design validation of advanced NAND products. Experienced in silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure. Strong focus on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency, coverage, and debug productivity.
Key Responsibilities & Achievements
Designed and executed functional and design validation flows for advanced RG NAND devices using silicon and simulation platforms
Developed deterministic usage‑case tests and random sequence generators to validate NAND commands and customer‑mode features
Performed electrical failure analysis of issues seen, root‑cause investigations (including digital and analog circuitry), and drove issue resolution with cross-functional teams
Implemented automation frameworks using C‑based programming, Python, and Perl to improve test development and execution efficiency
Applied AI/ML‑assisted techniques (data analytics, pattern recognition, anomaly detection) to:
Accelerate failure triage and root‑cause analysis
Identify validation coverage gaps
Improve random sequence effectiveness and debug prioritization
Utilized data‑driven methods and dashboards to track validation progress, defect trends, and release readiness
Conducted simulation studies using Verilog and Synopsys VCS to support debug and design verification
Job requirement:
Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or related field
For senior engineer, need to have at least 3-5 years of relevant professional working experience in a similar or related engineering role and able to plan and led projects/taskforce as required.
Silicon Debug & Electrical Failure Analysis
have programming skill (e.g. C/C++, Python, Perl)
Applied AI/ML for test analytics and defect pattern analysis
Good problem solving and communication skill
Independent debug/learn with minimum guidance
Job ID: 148478863
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