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Principal Engineer / MTS - NAND Dry Etch Process Pathfinding

micron · Fab 10N/X

New
Senior 🇬🇧 English
ICP/CCP plasma etch Plasma physics AI/ML Statistical modeling Data analytics

Job description

About the role

Micron's Advanced NAND Process Pathfinding team develops the next generation of memory technology. As a Principal Engineer / Member of Technical Staff (MTS) in Dry Etch, you will lead initiatives and architect and deploy next-generation plasma etch solutions that enable future NAND scaling and novel device architectures. The role suits a technical leader focused on plasma processing, pattern transfer, process integration and technology development.

Key responsibilities

  • Develop and refine dry etch processes to meet NAND roadmap criteria for structure, performance and yield.
  • Guide development of next-generation etch solutions including high aspect ratio patterning, selective etch, profile control and CD management.
  • Evaluate new plasma chemistries, process technologies and hardware to enable future device scaling.
  • Collaborate with Process Integration, Thin Films, Wet Etch, Diffusion, Lithography, CMP, Device and other teams to drive technology development and manufacturability.
  • Use AI-enabled engineering tools, advanced analytics and digital workflows to speed process development, improve decisions, manage knowledge and boost R&D productivity.

Required profile

  • Extensive experience in ICP/CCP plasma etch for advanced semiconductor process development.
  • Demonstrated experience developing and qualifying advanced dry etch processes.
  • Demonstrated technical leadership and successful engagement with equipment and materials suppliers.
  • Preferred: PhD/MS with 7-10+ years in dry etch / semiconductor process development, and experience mentoring engineers and leading technical teams.

Required skills

  • Deep understanding of plasma etch equipment, plasma-surface interactions, etch chemistry and profile control.
  • Solid foundation in plasma physics, transport phenomena and materials interactions.
  • Familiarity with AI/ML, statistical modeling, data analytics and digital engineering methodologies.
  • Preferred: experience in high aspect ratio etching, advanced pattern transfer, selective etching and complex structure engineering, and machine learning, automation, predictive or virtual process modeling.

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Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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micron

Fab 10N/X