Engineer/Senior Engineer in Product Engineering, NAND Validation

micron semiconductor asia operations pte. ltd.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte. Ltd. seeks an Engineer in Product Engineering, NAND Validation, specializing in functional and design validation of advanced NAND products.

The role emphasizes silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure. A strong focus 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 required.
• Experience in NAND validation in semiconductor or similar industry.
• Strong silicon debug and electrical failure analysis.
• Programming skills in C/C++, Python, Perl.
• Applied AI/ML for test analytics and defect pattern analysis.
• Good problem solving and communication skills.
• Independent debugging with minimal guidance.

Responsibilities

• Design and execute functional and design validation flows for 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 root-cause investigations with cross-functional teams.
• Build automation frameworks using C-based programming, Python, and Perl to improve test efficiency.
• Apply AI/ML techniques (data analytics, pattern recognition, anomaly detection) to accelerate triage and improve coverage.
• Use Verilog and Synopsys VCS for simulation studies supporting debug and verification.
• Contribute to AI-enabled enhancements and continuous improvement within the scope of work.

Skills

Automation

Data-driven validation

AI/ML techniques

Problem solving

Communication

Independent debugging

Education

Bachelor's in Electrical and/or Electronics Engineering

Tools

C/C++

Python

Perl

Verilog

Synopsys VCS

Job description

We are looking for an 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 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