About the role
AI summarisedThe Senior Process Development Engineer in Dry Etch for NAND will drive the development and deployment of advanced etch processes for 3D NAND technology. This role involves collaborating with cross-functional teams to optimize tool performance, refine recipes, improve yield, and integrate best-known methods into early development phases. The position requires a strong background in semiconductor dry etch process development, data analysis, and innovation in a fast-paced manufacturing environment.
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Key Responsibilities
- Rapid deployment of new NAND process technologies
- Drive development efforts prior to device ramp
- Define and complete effective actions to enable solutions required to hit key achievements and achieve the required performance within timelines
- Complex process development tasks related to ongoing evaluation of Dry Etch tool performance, examination of Dry Etch process windows, and adjustments or refinement of Dry Etch recipes within 3D NAND technology
- Troubleshoot processes as part of cross-functional teams, driving yield and quality improvement
- Take initiative to identify and own areas for improvement, collaborating with other Fabs and TD teams
- Proactively identify exciting processes and work with Fabs to find viable solutions
- Drive process simplification initiative across cross-functional teams
- Integrate best-known manufacturing methods into the early development phase of upcoming nodes
Requirements
- PhD degree in Material Science, Physics, Chemistry, Electrical/Electronics Engineering, or Bachelors/Masters in Material Science, Physics, Chemistry, Electrical/Electronics Engineering with minimum of 3 years of semiconductor dry etch process development background
- Proven track record of strong publication, patent, or invention disclosure
- Strong interest in technology development and crafting production-worthy technologies
- Ability to build and maintain relationships with cross-functional teams and vendors
- Excellent communication skills (written, verbal, and presentation)
- Proficiency in statistics, data analysis, Design of Experiments (DOE), and comfort with analysis software tools
- Ability to work in a fast-paced and dynamic environment