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Open nowPosted today

Engineer/Senior Engineer in Product Engineering, NAND Validation/Characterization

MyCareersFuture95,505 open roles

Pay
SGD 5,000 – SGD 9,900 a month
Where
North, Singapore
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Your applicationOpen nowEngineer/Senior Engineer in Product Engineering, NAND Validation/CharacterizationMyCareersFuture · North, Singapore

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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

We are looking for an Engineer/Senior Engineer in Product Engineering, NAND Validation/Characterization, specializing in functional and design validation/Characterization 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
  • Characterization of NAND performance including timing and power parameters, with the latest NAND ONFI interface standards
  • Conducted simulation studies using Verilog and Synopsys VCS to support debug and design verification
  • 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
  • For senior engineer, need to have at least 3–5 years of relevant professional working experience in a similar or related engineering role.
  • 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.

Technical Skills

  • Test Algorithm & Program Development
  • Silicon Debug & Electrical Failure Analysis
  • Verilog, Synopsys VCS
  • C/C++, Python, Perl
  • Validation automation & workflow optimization
  • Applied AI/ML for test analytics and defect pattern analysis

Soft Skills

  • Good problem solving and communication skill
  • Independent debug/learn with minimum guidance
  • For senior engineer, able to plan and led projects/taskforce as required.
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