Senior NAND Validation Engineer - AI-Driven Test Automation

micron semiconductor asia operations pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte. Ltd. is seeking a Senior Engineer in Product Engineering, NAND Validation, specializing in functional and design validation of advanced NAND products.

The role focuses on silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure, with emphasis on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency and debug productivity.

Qualifications

• Bachelor's degree in Electrical and/or Electronics Engineering.
• 7+ years of relevant engineering experience in NAND validation.
• Experience in silicon debugging and electrical failure analysis.
• Programming skills in C/C++, Python and Perl.
• Applied AI/ML for test analytics and defect pattern analysis.

Responsibilities

• Design and execute functional and design validation flows for advanced RG NAND devices using silicon and simulation platforms.
• Develop deterministic usage‑case tests and random sequence generators to validate NAND commands and features.
• Perform electrical failure analysis and drive cross‑functional issue resolution.
• Implement automation frameworks using C-based programming, Python, and Perl.
• Apply AI/ML techniques to accelerate triage, identify coverage gaps and improve debug efficiency.
• Support debug with Verilog/Synopsys VCS simulations and track validation progress.

Skills

NAND Validation

Automation/Frameworks

AI/ML for test analytics

Electrical failure analysis

Cross-functional collaboration

Education

Bachelor's degree in Electrical and/or Electronics Engineering

Tools

Verilog

Synopsys VCS

Python

C/C++

Perl

Job description

Micron Semiconductor Asia Operations Pte. Ltd. is seeking a Senior Engineer in Product Engineering, NAND Validation, specializing in functional and design validation of advanced NAND products.

The role focuses on silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure, with emphasis on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency and debug productivity.