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 improving AI model performance on AMD hardware. You'll profile and optimize training and inference workloads using cutting-edge tools. Ideal for PhD students with experience in deep learning and GPU programming.
What you would actually do
- Optimize AI models and training workflows on AMD GPUs
- Use ROCm, PyTorch, JAX, and performance tools for benchmarking
- Work with engineers on GPU performance analysis and optimization
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.