Senior Engineer in Product Engineering, NAND Validation

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

We are looking for an SeniorEngineer 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

• At least 7 years of relevant professional working experience in a similar or related engineering role and able to plan and led projects/taskforce as required.

• Experience in validation for NAND in Semicon or similar industries

• Silicon Debug & Electrical Failure Analysis

• 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

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.

AI Requirements:

. Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes