Engineer in Product Engineering, NAND Validation

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

• 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
  

Job requirement:

• Bachelor’s in Electrical and/or Electronics Engineering

• Experience in Semiconductor or similar industries

• Debugging, Troubleshooting or Electrical Failure/Fault Analysis

• Design Verification Testing

• Programming skill (e.g. C/C++, Python, Perl)

AI Responsibilities:

• 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.