Research Intern Physical AI GPU
AI Platform Development
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Posted in the last 24 hours.
The gist
This PhD internship focuses on building AI platforms for autonomous systems, with hands-on work on GPU optimization, ML model design, and real-world applications. Ideal for students with strong CUDA and machine learning backgrounds seeking to contribute to cutting-edge research and product development.
What you would actually do
- Develop platforms for autonomous systems using CUDA and low-end GPUs
- Design ML models for real-world perception and action tasks
- Collaborate with senior researchers on AI and silicon integration
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 3 minutes of being posted
- Last seen listed
- Application page
- marvell.wd1.myworkdayjobs.com
This is the first Marvell Technology posting InternDoor has recorded in India. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to Marvell Technology’s page instead of a dead end.
How to apply
Internships in India 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.
