Semiconductor Module Engineering Intern (PhD)

Intel Corporation; Hillsboro (OR); On-site; USD 121,000 - 122,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Vacation

Job summary

Intel Corporation in Hillsboro, OR seeks a PhD‑level intern to contribute to manufacturing process development for a module in semiconductor production. You will work hands‑on to sustain equipment, troubleshoot issues, and support qualification activities with engineering teams.

The role emphasizes process optimization, data analysis, and characterization techniques (SEM/TEM), offering practical skills and potential career paths in a dynamic environment.

Qualifications

• Ph.D. candidate in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Eng., or related STEM field.
• Hands-on semiconductor processing knowledge (lithography, etching, polishing, deposition).
• Familiarity with data analysis and DOE methods; experience with SEM/TEM characterization.

Responsibilities

• Support development and implementation of semiconductor processes for a module.
• Sustain and improve equipment performance and reliability.
• Assist in troubleshooting and qualification activities to meet standards.
• Collaborate with engineering to optimize process control and targets.
• Apply statistics and DOE to improve throughput and reliability.
• Gain hands-on experience with materials and device characterization (SEM/TEM).
• Contribute to ongoing process control improvements.

Skills

Semiconductor processing

Statistics & DOE

Material characterization (SEM/TEM)

Programming basics (Python/SQL/C)

Education

Ph.D. in progress (STEM)

Tools

Python

JSL

Perl

TCL

SQL

C/C++

Job description

Intel Corporation in Hillsboro, OR seeks a PhD‑level intern to contribute to manufacturing process development for a module in semiconductor production. You will work hands‑on to sustain equipment, troubleshoot issues, and support qualification activities with engineering teams.

The role emphasizes process optimization, data analysis, and characterization techniques (SEM/TEM), offering practical skills and potential career paths in a dynamic environment.