Process Integration and Yield Engineering PhD Intern Repeat
Process Engineering
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $120,898 – $120,902 / year. Most postings never say.
- Nobody had applied when this was listed — you would be near the front of the queue.
- Posted in the last 24 hours.
The gist
This PhD internship involves analyzing defect data and optimizing semiconductor manufacturing processes to improve yield and efficiency. You'll work on real-world projects with cross-functional teams, applying data analysis and engineering skills to solve complex technical challenges in high-volume production. Ideal for PhD candidates with a background in physics, electrical engineering, or materials science.
What you would actually do
- Analyze defect data and run experiments to improve yield in semiconductor manufacturing
- Collaborate with engineers to optimize metrology and troubleshoot process flow issues
- Apply data analysis tools to enhance production efficiency and quality
- Work on real-world projects in high-volume manufacturing environments
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.
