Senior Engineer - Process Development, Dry Etch NAND

About the role

Micron is hiring a Senior Engineer for its Fab 10N/X site to support advanced NAND dry etch process development. The engineer improves process windows, optimizes recipes and troubleshoots yield and quality issues together with Process Integration and other module teams. The role calls for strong experimental discipline (DOE/SPC), structured problem solving and the ability to turn technology requirements into production-worthy process improvements.

Key responsibilities

• Perform dry etch process development for 3D NAND, including process window analysis, recipe optimization and tool continuous improvement evaluation.
• Troubleshoot process issues in cross-functional teams to improve yield and quality, and own assigned improvement opportunities.
• Work with Process Integration and other process development areas (Wet Etch, CVD/Diffusion, Metals, Lithography, CMP) to develop and integrate solutions.
• Run root cause and failure mode analyses and work with vendors and suppliers to close hardware and process gaps.
• Support pilot-line execution and process transfer as required by program needs.
• Drive process simplification and bring best-known manufacturing methods into early development of upcoming nodes.
• Document experiments and results, share progress and risks in technical forums, and use AI-assisted tools to improve efficiency and quality.

Required profile

• PhD, or Master's degree with at least 3 years, or Bachelor's degree with at least 5 years of relevant experience in Electrical Engineering, Materials Science, Chemical Engineering, Physics or a related field.
• Evidence of strong aptitude for technology development and experimental/data analysis in a dry etch or semiconductor context.
• Structured problem solving, independent work with minimal direction, and cross-functional collaboration with clear written and verbal communication.

Required skills

• Fundamentals of dry etch processing and at least one of: thermodynamics, transport phenomena, kinetics or plasma physics.
• DOE, statistics and SPC, and comfort with analysis tools.
• Preferred: data science basics and Python scripting.