Position Details
About this role
Yield analyst systems engineering role focused on developing and sustaining yield analysis software for advanced packaging, with emphasis on data pipelines and defect/metrology data integration.
Key Responsibilities
- Drive inline defect data pipeline workflows, logic, NPI/configuration/analysis; collaborate on requirements and debugging; contribute to system integrations with Klarity/Exensio and ADC; enable rapid yield learning; adapt to evolving manufacturing needs
Technical Overview
Stack centers on Python and SQL for data analytics, integration with Klarity/Exensio, and ADC/ML techniques; involves data pipelines and cross-functional collaboration with automation and manufacturing teams.
Ideal Candidate
The ideal candidate is a mid-level data & analytics systems engineer with 2+ years (or more) of relevant experience and strong Python/SQL skills, plus familiarity with semiconductor yield tools like Klarity or Exensio and ADC/ML concepts.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No Python or SQL experience, No experience with yield/metrology ecosystems, Lack of experience in data pipelines or ADC/ML
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile