Research Intern Physical AI GPU
AI Platform Research
Open nowConfirmed on Marvell Technology’s own careers page · checked
What stands out
- Posted in the last 24 hours.
The gist
This PhD internship focuses on developing AI platforms for autonomous systems, working with real hardware and production data. You'll prototype next-gen systems, optimize CUDA for constrained environments, and contribute to research with potential product impact. Ideal for PhD students with strong GPU programming and ML skills.
What you would actually do
- Build compute platforms for autonomous systems using CUDA and low-end GPUs
- Design ML models for real-world perception and action with sensor data
- Collaborate with senior researchers on AI hardware and silicon innovation
Skills mentioned
About this listing
- Found on
- Marvell Technology’s careers site (Workday)
- First seen by InternDoor
- Last seen listed
- Application page
- marvell.wd1.myworkdayjobs.com
InternDoor has recorded 2 engineering postings from Marvell Technology in India since Oct 2026. We keep re-checking Marvell Technology’s careers site, and take this listing down after the role disappears from it or its application link stops working. 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.
