Staff Engineer: Advanced CVD & NAND Process Innovation

Micron Technology, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a Staff Engineer specialized in CVD advanced NAND process development to drive thin film deposition, characterization, and optimization, delivering reliable, manufacturable results.

You will design experiments, analyze data, transfer processes to pilot lines, collaborate across teams, and integrate AI-enabled tools to boost efficiency while upholding safety and quality standards.

Qualifications

• PhD or Master’s ≥3 yrs, or Bachelor’s ≥5 yrs in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or related field.
• Fundamentals of thin film deposition (CVD) and film characterization.
• DOE/SPC basics; ability to analyze experimental data and draw conclusions.
• Understanding of plasma/vacuum systems and process-chemistry relationships.

Responsibilities

• Develop, optimize, and characterize thin film processes (CVD) to meet performance, reliability, and manufacturability targets.
• Design and execute experiments, analyze data, and communicate results in appropriate technical forums.
• Perform film characterization using SEM, TEM, XPS, SIMS, AFM and correlate results to process outcomes.
• Support process transfer and pilot line execution, including sustaining process maturity/capability.
• Collaborate with multi-functional partners to ensure robust processes meeting physical/electrical requirements.

Skills

CVD deposition

Film characterization

DOE/SPC basics

Data analysis

Structured problem solving

Cross-functional collaboration

AI literacy

Education

PhD or MS in relevant field

Bachelor's degree with ≥5 yrs experience

Job description

Micron Technology, Inc. in Singapore seeks a Staff Engineer specialized in CVD advanced NAND process development to drive thin film deposition, characterization, and optimization, delivering reliable, manufacturable results.

You will design experiments, analyze data, transfer processes to pilot lines, collaborate across teams, and integrate AI-enabled tools to boost efficiency while upholding safety and quality standards.