Senior CVD Process Engineer – Advanced NAND Tech

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Process Development Engineer to advance NAND thin film processes, drive DOE/SPC-based experiments, and transfer tech to manufacturing.

The role demands strong fundamentals in CVD/Diffusion and close collaboration with integration, metrology, yield, and equipment partners. The ideal candidate has a PhD or Master’s with several years in thin film R&D, and experience with AI-enabled productivity improvements will be valued.

Qualifications

• PhD, or Master’s ≥3 yrs, or Bachelor’s ≥5 yrs of relevant experience 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.

Responsibilities

• Develop, optimize, and characterize thin film processes (CVD/Diffusion) to meet performance, reliability, and manufacturability targets.
• Design and execute experiments, analyze data, and communicate results through 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 meeting physical/electrical requirements.

Skills

Thin film deposition

Film characterization

DOE/SPC basics

Plasma and vacuum systems

Clear communication

Education

PhD in Electrical Engineering

Master’s in relevant field

Bachelor’s in relevant field with experience

Job description

Micron Technology, Inc. in Singapore is seeking a Process Development Engineer to advance NAND thin film processes, drive DOE/SPC-based experiments, and transfer tech to manufacturing.

The role demands strong fundamentals in CVD/Diffusion and close collaboration with integration, metrology, yield, and equipment partners. The ideal candidate has a PhD or Master’s with several years in thin film R&D, and experience with AI-enabled productivity improvements will be valued.