A
Not Specified Permanent

San Jose, California · USA job

Module Process Engineer V - (E5)

Applied Materials

San Jose, California

Job description

Overview

As an Epi process/expert, you will advance wafer fabrication capabilities for leading-edge semiconductor and display devices. You'll solve complex technical challenges with data-driven approaches, guiding customers and internal teams through continuous improvements. You will influence service strategy and adopt new technologies to boost performance. This role offers high-impact work within a global, growth-focused company.

Compensation / Benefits
  • comprehensive benefits package
  • bonus opportunity
  • stock award program
  • relocation eligibility
  • travel support (25% of time)
  • career development opportunities
Responsibilities
  • Serve as a technical expert in Epitaxy process and equipment with 10+ years of wafer fab experience
  • Use data analytics to diagnose EPI yield/integration issues and drive solutions
  • Lead problem-solving discussions with customers on high-value problems and CI projects
  • Drive value through defect/variability reduction, output optimization, and process capability improvements
  • Champion adoption of FabVantage offerings and conduct on-site evaluations and joint development programs
  • Resolve complex tool issues using analytics and FV troubleshooting methodologies; provide root-cause reports
  • Mentor junior engineers and lead project teams through high-risk, complex initiatives
  • Demonstrate advanced integration knowledge across multiple processes and technologies
  • Communicate complex ideas effectively to senior stakeholders and influence decisions
Key requirements
  • BS/MS in Engineering
  • 10+ years of Epi process or equipment experience
  • Wafer Fab Process/Equipment experience
  • Strong problem-solving and communication skills
  • Technical expert in EPI Unit Process and Wafer Fab operations
  • strong communication
  • leadership
  • problem solving
  • Epitaxy process and equipment expertise
  • data analytics for analytics-driven troubleshooting
  • defect/variability analysis

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