Staff Engineer, Advanced CVD & NAND Process Development

Micron Technology; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites applications for a research-focused role in thin film deposition and characterization.

The candidate will design, execute, and analyze experiments to advance CVD processes and correlate results with device outcomes. The role emphasizes collaboration across Process Integration, Metrology, and Manufacturing, with an expectation to integrate AI-assisted tools to improve research efficiency and data-driven decisions.

Qualifications

• PhD or Master’s with ≥3 yrs, or Bachelor’s with ≥5 yrs in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or related field.
• Demonstrated foundation in thin film deposition and characterization; R&D/PD environment readiness is important for this role.
• Fundamentals of thin film deposition (CVD) and film characterization.
• DOE/SPC basics; ability to analyze experimental data and draw conclusions.

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 techniques (SEM, TEM, XPS, SIMS, AFM) and correlate results to process outcomes.
• Support process transfer and pilot line execution, including sustaining process maturity/capability for processes under ownership.
• Collaborate with multi-functional partners to ensure robust processes that meet physical/electrical requirements.

Skills

Thin film deposition

Film characterization

DOE/SPC basics

Education

PhD or Master’s

Bachelor’s

Job description

Micron Technology, Inc. in Singapore invites applications for a research-focused role in thin film deposition and characterization.

The candidate will design, execute, and analyze experiments to advance CVD processes and correlate results with device outcomes. The role emphasizes collaboration across Process Integration, Metrology, and Manufacturing, with an expectation to integrate AI-assisted tools to improve research efficiency and data-driven decisions.