NAND Cell Device Engineer — AI-Driven Memory Innovation

Micron

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

Micron Technology, Inc. in Singapore seeks a NAND Cell Device Engineer to advance 3D NAND development, driving characterization and optimization of next-generation memory cells through cross-functional collaboration.

You will collaborate with world-class experts across device, process integration, design, product, and reliability teams to solve complex technical challenges and enable future technology nodes, using deep device physics and data-driven insights.

Qualifications

  • MS/PhD in EE, physics, or materials science or related field.
  • Strong knowledge of semiconductor device physics and fabrication processes.
  • Experience with MATLAB/Octave/JMP and AI-powered tooling.

Responsibilities

  • Characterize NAND memory cells and arrays to identify performance, reliability, and scaling improvements.
  • Develop expertise in NAND device physics, array operation, and failure mechanisms.
  • Analyze large-scale electrical test data to uncover device behaviors and screening opportunities.
  • Apply AI-assisted workflows to accelerate data analysis and engineering insights.
  • Contribute to NAND cell architecture and process development with innovative device solutions.
  • Collaborate with process integration, design, product engineering, reliability, and manufacturing teams.

Skills

NAND device physics
AI data analysis
Communication
Collaboration

Education

M.S./Ph.D. in EE/Physics/Materials

Tools

MATLAB/Octave/JMP
AI-powered tools

Job description

Micron Technology, Inc. in Singapore seeks a NAND Cell Device Engineer to advance 3D NAND development, driving characterization and optimization of next-generation memory cells through cross-functional collaboration.

You will collaborate with world-class experts across device, process integration, design, product, and reliability teams to solve complex technical challenges and enable future technology nodes, using deep device physics and data-driven insights.

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