Semiconductor Process Integration & Yield Intern (PhD)

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

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation's Foundry group seeks a PhD intern to contribute to the development and optimization of semiconductor manufacturing processes. You will analyze defect data, run experiments, and enhance module integration flows to boost yield in high-volume production.

Collaborating with cross-functional teams, you will apply advanced data analysis, refine metrology strategies, and help improve manufacturing processes in state-of-the-art facilities.

Qualifications

• PhD in a STEM field is required and must be in progress.
• Experience with data analysis methods and tools is required.
• Strong communication and collaboration skills are essential.

Responsibilities

• Contribute to development and refinement of module processes and integration flows.
• Analyze defect data, conduct experiments, and assist with risk assessments.
• Collaborate with cross-functional teams to troubleshoot process flow issues.
• Apply advanced data analysis to improve process performance and efficiency.
• Participate in continuous improvement for manufacturing quality and scalability.
• Engage in hands-on learning through innovative projects aligned with Intel goals.

Skills

Strong communication

Analytical skills

Problem-solving

Data interpretation

Education

PhD in Chemistry, Physics, Materials Science, Chemical Engineering, EE, Mechanical Engineering, CS or related STEM

Tools

JMP

MATLAB

Octave

Python

JSL

Perl

TCL

SQL

C/C++

Figma

Visio

Job description

Intel Corporation's Foundry group seeks a PhD intern to contribute to the development and optimization of semiconductor manufacturing processes. You will analyze defect data, run experiments, and enhance module integration flows to boost yield in high-volume production.

Collaborating with cross-functional teams, you will apply advanced data analysis, refine metrology strategies, and help improve manufacturing processes in state-of-the-art facilities.