Yield Analysis - Ya - Engineer - Foundry

Yield Analysis – Ya – Engineer – Foundry

Bachelor’s degree in one of the following disciplines: Electrical/Electronic Engineering, Physics, Chemistry, Materials Science, or in a (STEM) related major.
3+ years of experience in any of the following areas: Python and other program languages to develop a new analysis method and algorithms using large amount of fab data.
Big data analysis and machine learning.
Advanced Node semiconductor high-volume manufacturing.
Device Physics and overall FinFET process flow.

Own engineering projects involving large-scale data analysis and machine learning to support HVM yield roadmap, device targeting and attaining performance targets.
Work with Program Managers, Process Integration, Device and Defect Reduction team members to identify root cause of systematic yield/performance issues and propose mitigation plan in defined timeline to meet committed production yield/performance targets and to support fast paced yield ramp-up in high-volume manufacturing phases.
Work with Yield Modeling team to develop new yield analysis methods and algorithms to deliver world class yield analytics.
Formulate yield problems mathematically, identify solutions, and remove technical barriers to achieve successful solutions.
Provide yield analysis for various engineering projects to improve quality, performance and to reduce wafer cost.
Engineering support for technical interactions with internal and external customers.

Advanced degree (Master’s or Ph.D.) in one of the following disciplines: Electrical/Electronic Engineering, Physics, Chemistry, Materials Science, or in a (STEM) related major.
2+ year of experience in advanced node semiconductor industry in yield analysis and data science.
Work experience in TFT environment.
Experience in new semiconductor technology development.
Experience in module processes including lithography, dry etch, wet etch, CMP, diffusion, implant, thin films and process integration.