Senior NAND Validation Engineer | AI-Driven Tests

Micron Technology, Inc

Singapore

Hybrid

SGD 90,000 - 120,000

Full time

14 days+

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Job summary

Micron Technology, Inc in Singapore seeks a Senior Engineer in Product Engineering, NAND Validation, focusing on functional and design validation of advanced NAND devices. The role involves silicon and simulation-based validation, electrical failure analysis, and cross-functional collaboration.

The position emphasizes automation, data-driven validation, and AI/ML techniques to improve test efficiency, coverage, and debug productivity; strong communication and teamwork are essential.

Qualifications

  • Bachelor’s or Master’s degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or related field.
  • At least 5–7 years of relevant professional experience in a similar engineering role.
  • Experience in validation for NAND in semicon or related industries.

Responsibilities

  • Design and execute functional and design validation flows for advanced NAND devices using silicon and simulation platforms.
  • Develop deterministic usage-case tests and random sequence generators to validate NAND commands and customer-mode features.
  • Perform electrical failure analysis, root-cause investigations, and drive cross-functional issue resolution.
  • Implement automation frameworks using C-based programming, Python, and Perl to improve test development and execution efficiency.
  • Apply AI/ML-assisted techniques to accelerate failure triage, identify validation coverage gaps, and improve debugging.

Education

Bachelor’s or Master’s degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or related field

Tools

Verilog
Synopsys VCS

Job description

Micron Technology, Inc in Singapore seeks a Senior Engineer in Product Engineering, NAND Validation, focusing on functional and design validation of advanced NAND devices. The role involves silicon and simulation-based validation, electrical failure analysis, and cross-functional collaboration.

The position emphasizes automation, data-driven validation, and AI/ML techniques to improve test efficiency, coverage, and debug productivity; strong communication and teamwork are essential.

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