Principal Engineer / MTS - Dry Etch, Process Development (Advanced NAND)

About the role

Micron is hiring a Principal Engineer / Member of Technical Staff (MTS) for its Next Generation NAND research and development Dry Etch team in Singapore. The role works on critical NAND modules and collaborates closely with process integration and other areas such as Wet Etch, CVD, Diffusion, Metals, Lithography and CMP. You will manage dry etch chambers and lead the process roadmap to achieve program and yield targets.

Key responsibilities

• Lead innovation in dry etch technology and advance essential modules such as HAR, tier-by-tier etches, WL contacts and staircase.
• Develop and innovate dry etch processes to meet structural and electrical specifications.
• Work with hardware teams to define the equipment roadmap for current and upcoming NAND generations.
• Collaborate and lead cross-functional teams to solve complex structural problems and present process and technology roadmaps.
• Predict future issues early and build mitigation plans.
• Contribute to the Technical Leadership Program and mentor less experienced engineers.
• Guide other areas on technology roadmaps, lead or join cross-functional task forces, and act as a resource for colleagues in dry etch and project management.
• Provide project status updates to upper management.

Required profile

• PhD with at least 5 years, or Master's degree with at least 7 years, in chemical, mechanical, electrical, material science, physics, semiconductor engineering or related fields, plus at least 6 years of dry etch process development experience.
• At least 5 years of NAND, DRAM or logic module development experience.
• Demonstrated interest in R&D, leadership in problem-solving and project management, and experience solving scalability problems of deep high aspect ratio silicon/dielectric etches.
• Knowledge of plasma physics, chemistry, transport or surface phenomena.

Required skills

• Understanding of plasma dry etch reactors (RF sources, chemistries).
• Statistical process control and analysis.
• MS Office and SAS (JMP or similar); data science basics and Python coding preferred.
• Strong statistical analysis, communication and problem-solving skills, and experience mentoring junior engineers.