PhD Intern: Module Engineering in Semiconductors

Intel Corporation

Hillsboro (OR)

Hybrid

USD 121,000 - 122,000

Full time

14 days+

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Benefits offered by this job

Stock bonuses
Health benefits
Retirement plan

Job summary

Intel Corporation in Hillsboro, OR, seeks a Module Engineering PhD Intern to develop and optimize semiconductor manufacturing processes for a module. You will sustain equipment, troubleshoot issues, and support qualification activities in a fast-paced, growth-focused environment.

The role emphasizes statistical analysis, process control methods, and collaboration with engineering teams, with hands-on work on materials and device characterization to drive process improvements.

Qualifications

  • Pursuing a Ph.D. in a STEM field (Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering or related).
  • Knowledge of semiconductor processing fundamentals (lithography, etching, polishing, deposition).
  • Experience with SEM or TEM characterization through coursework or research.

Responsibilities

  • Support development and implementation of manufacturing processes for a module in semiconductor production.
  • Sustain and enhance manufacturing equipment performance; troubleshoot issues and perform qualifications.
  • Collaborate with engineering teams to optimize process control and improve efficiency.
  • Apply statistical analysis and experimental design to improve reliability and throughput.
  • Gain hands-on experience with materials and device characterization techniques (SEM/TEM).

Skills

Statistical analysis
Device characterization
SEM
TEM

Education

PhD in Materials Science or related STEM field

Tools

JMP
Python
MATLAB
C++

Job description

Intel Corporation in Hillsboro, OR, seeks a Module Engineering PhD Intern to develop and optimize semiconductor manufacturing processes for a module. You will sustain equipment, troubleshoot issues, and support qualification activities in a fast-paced, growth-focused environment.

The role emphasizes statistical analysis, process control methods, and collaboration with engineering teams, with hands-on work on materials and device characterization to drive process improvements.

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