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Staff STPG NAND Product Development Engineer

Staff STPG NAND Product Development Engineer

micron semiconductor asia operations pte. ltd.
5-8 Years
SGD 8,000 - 12,000 per month
  • Posted 3 days ago
  • Be among the first 10 applicants

Job Description

Role Summary

The Staff Engineer in System and Technology Product Group (STPG) owns defined technical scope across the full learning loop of NAND Test Chip Vehicle (TCV) development.

This role drives pre-silicon validation, post-silicon characterization, simulation-to-silicon correlation, and technology learning to improve future NAND architectures. Success requires strong technical judgment, advanced data analysis capability, cross-functional collaboration, and the ability to independently drive complex technical issues to resolution while influencing design, process, technology development, and test stakeholders.

Main Responsibilities

  • Own pre-silicon validation, simulation coverage, regression development, and correlation activities for TCV programs.

  • Analyze simulation results to identify architecture, device, performance, and margin sensitivities that influence tape-out readiness.

  • Own post-silicon validation, characterization, debug, and silicon learning activities for TCV devices.

  • Drive root cause analysis of silicon anomalies and distinguish design, process, modeling, and test-related limitations.

  • Define test modes, patterns, stress conditions, and characterization methodologies to maximize technology learning and data quality.

  • Lead data-driven problem solving and influence cross-functional decisions through technical expertise and execution.

Other Responsibilities

  • Collaborate with Design, Technology Development, Process Integration, and Test organizations to accelerate technology learning.

  • Partner with Test Solutions Engineering to influence probe code, test flows, and characterization strategies.

  • Develop technical documentation, best practices, and reusable methodologies that improve organizational learning.

  • Mentor less-experienced engineers and promote knowledge sharing across teams.

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.

Minimum Qualifications / Experience

  • PhD with ≥2 years, or master's degree with ≥5 years, or bachelor's degree with ≥7 years of relevant experience in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or a related field, with demonstrated expertise in semiconductor industry.

  • Demonstrated experience in both pre-silicon simulation/regression ownership and post-silicon validation for complex semiconductor designs.

  • Experience driving technical problem resolution with a high degree of independence.

Must-Have Technical Skills

  • Strong understanding of CMOS/MOSFET device physics, semiconductor devices, memory circuits, and NAND flash architectures.

  • Experience with pre-silicon simulation environments, regression methodologies, and simulation-to-silicon correlation.

  • Proficiency in data analysis, scripting, and statistical evaluation using Python, JMP, or equivalent tools.

  • Working knowledge of DFT, probe test infrastructure, failure analysis, and silicon characterization methodologies.

  • Experience applying advanced analytics, machine learning, or AI techniques to engineering datasets.

Must-Have Soft Skills

  • Structured problem-solving and analytical decision-making.

  • Cross-functional collaboration and stakeholder influence.

  • Clear technical communication and technical documentation skills.

  • Ability to independently manage ambiguity and drive execution to closure.

Highly Desirable / Preferred

  • Deep experience with NAND flash architectures, array-periphery interactions, and test chip development.

  • Experience with firmware-assisted test modes and experimental silicon features.

Embody Micron's Core Values

  • People - Respect, develop and empower others

  • Innovation - Drive continuous improvement and breakthrough thinking

  • Tenacity - Show grit and determination

  • Collaboration - Build trust and foster teamwork

  • Customer Focus - Deliver excellence and value

  • Speed - Act with purpose and set the pace

More Info

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Key Skills

statistical evaluation

NAND flash architectures

memory circuits

AI techniques

semiconductor devices

regression methodologies

simulation-to-silicon correlation

silicon characterization methodologies

pre-silicon simulation environments

data analysis scripting

DFT probe test infrastructure

CMOS MOSFET device physics

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5-7 yrs
Singapore
Skills:
Advanced Analytics, Machine Learning, NAND flash architectures, AI techniques, memory circuits, semiconductor devices, simulation-to-silicon correlation, regression methodologies, silicon characterization methodologies, pre-silicon simulation environments, Jmp, statistical evaluation using Python, Failure Analysis, data analysis scripting, DFT probe test infrastructure, CMOS MOSFET device physics