Ltd Process Development Integration Engineer

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

Process Integration Development Engineer at Intel, focusing on advancing semiconductor manufacturing processes for Logic Technology Development (LTD). Responsibilities include leading quality event responses, performing statistical analysis on fab and E-test data, monitoring yield, conducting root cause analyses, and developing process targeting strategies to optimize product performance and yield. Requires a Bachelor's degree in a relevant STEM field and experience in semiconductor industry, statistical data analysis, and root cause analysis.

What you'd actually do

  1. Lead Quality Event Form (QEF) responses and Disposition/Material Review Board (XRB) actions in coordination with module and manufacturing teams.
  2. Perform fab and E-test parameter trending, process control, and statistical analysis (including ANOVA) to identify issues, opportunities, and corrective action plans.
  3. Monitor Yield Cliffs and Product Performance Indicators.
  4. Conduct data-driven root cause analyses of fab quality events and partner with stakeholders to implement preventative solutions.
  5. Drive process variation reduction through deep understanding of semiconductor processes and applied statistics.

Skills

Required

  • Bachelor's degree in electrical engineering, Physics, Material Science and Engineering, Computer Science, Chemical Engineering, Mechanical Engineering, Nuclear Engineering, Optics, or Chemistry (with focus on hands-on experimental research).
  • 1+ years of prior semiconductor industry experience.
  • 6+ months of experience with statistical data analysis tools, including JMP, Excel, or MATLAB.
  • 6+ months of experience with root cause analysis and corrective action planning (CAPA) during quality events.

Nice to have

  • Experience with semiconductor processing fundamentals, including lithography, etching, chemical and mechanical polishing, and related processes.
  • Demonstrated knowledge of transistor device physics and experimental design principles.
  • Familiarity with materials characterization techniques such as SEM, TEM, and metrology.
  • Exposure to statistical data analysis tools, including JMP, Excel, or MATLAB.
  • Experience with root cause analysis and corrective action planning (CAPA) during quality events.
  • Research experience in STEM fields, particularly semiconductor device architectures.
  • Proficiency in model-based problem-solving techniques to address complex engineering challenges.