Process Integration Engineer – Defect Metrology

Intel Corporation

Hillsboro, Northern (OR, KY)

Hybrid

USD 134,000 - 220,000

Full time

14 days+
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Job summary

Intel Corporation in Hillsboro, Oregon seeks a Process Integration Development Engineer to design, execute, and analyze experiments for defect metrology and process optimization. You will drive technology transfers, collaborate across engineering teams, and apply big data methods to improve yield and reliability.

Minimum qualifications include advanced degrees with experience in semiconductors, metrology tools, and DOE/data analysis.

Qualifications

  • Ph.D. or Master’s with 4+ years in a related engineering field.
  • Experience with materials characterization (SEM/TEM/Spectroscopy) or other metrology.
  • Background in semiconductor processing (lithography, etching, polishing, device physics).
  • Experience with DOE concepts and statistical data analysis tools (MATLAB/JMP/Excel).

Responsibilities

  • Plan and execute experiments to characterize processes.
  • Develop materials and equipment to meet reliability and manufacturability requirements.
  • Conduct feasibility studies with product and module teams.
  • Leverage big data analysis to identify process design weaknesses or tool issues.
  • Lead new product qualifications and transfers to high-volume manufacturing.
  • Collaborate with development teams and material suppliers to align with roadmaps.
  • Organize and present process solutions to engineering teams to address requests.

Skills

Defect reduction
Process integration
Semiconductor processing fundamentals
Data analysis tools
DOE principles
Python/Perl/SQL/C++
Strong communication

Education

Ph.D. in related field
Master's with 4+ years experience

Tools

MATLAB
JMP
Excel

Job description

Intel Corporation in Hillsboro, Oregon seeks a Process Integration Development Engineer to design, execute, and analyze experiments for defect metrology and process optimization. You will drive technology transfers, collaborate across engineering teams, and apply big data methods to improve yield and reliability.

Minimum qualifications include advanced degrees with experience in semiconductors, metrology tools, and DOE/data analysis.

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