2027 PhD AI Systems & GPU Performance Engineering Intern
AI Performance 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 — $91,500 / 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 same role is open in 2 locations.
The gist
This PhD internship focuses on optimizing AI systems and GPU performance using cutting-edge tools and frameworks. Ideal for students with strong programming skills and experience in deep learning and performance analysis. The role offers hands-on work with real-world AI applications and collaboration with experts in the field.
What you would actually do
- Optimize AI models and GPU performance using ROCm, PyTorch, and JAX
- Develop benchmarking tools and automation scripts for performance analysis
- Work with engineers on AI workflows and hardware-software integration
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.