PhD Intern: Semiconductor Process Integration & Yield

Intel

Hillsboro (OR)

On-site

USD 121,000 - 122,000

Full time

5 days ago
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Job summary

Intel Foundry seeks a PhD Intern in Process Integration and Yield Engineering to develop and optimize module processes, analyze defect data, and drive yield improvements in high-volume manufacturing. You will collaborate with cross-functional teams to troubleshoot process flow issues and apply data analyses to boost performance.

This on-site internship starts in late Spring/Summer 2027, with potential for year-long opportunities.

Qualifications

  • Actively pursuing a PhD in Physics, Electrical Engineering, Material Science, or Chemistry.
  • Proficiency in microscopy techniques.
  • Background in circuit design and semiconductor device physics.
  • Basic scripting knowledge in Python or comparable programming languages.
  • Understanding of scan methodologies and automatic test pattern generation.
  • 3.0 GPA requirement.

Responsibilities

  • Contribute to development and optimization of module processes and integration flows for semiconductor manufacturing.
  • Analyze defect data, conduct experiments, and assist in risk assessments to support yield improvement.
  • Collaborate with cross‑functional engineering teams to troubleshoot process flow issues and optimize metrology strategies.
  • Apply data analysis techniques to improve process performance and manufacturing efficiency.
  • Participate in continuous improvement efforts focused on enhancing production quality and output.
  • Engage in innovative projects to develop expertise and support Intel's business goals.

Skills

PhD candidate in Physics/Electrical/材料
Microscopy techniques
Semiconductor device physics
Python scripting
Scan methodologies / ATE concepts

Education

PhD candidate (Physics/EE/Materials/Chemistry)

Job description

Intel Foundry seeks a PhD Intern in Process Integration and Yield Engineering to develop and optimize module processes, analyze defect data, and drive yield improvements in high-volume manufacturing. You will collaborate with cross-functional teams to troubleshoot process flow issues and apply data analyses to boost performance.

This on-site internship starts in late Spring/Summer 2027, with potential for year-long opportunities.

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