Research Intern Physical AI GPU

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.

Summarised by InternDoor from Marvell Technology’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• 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

Degree

PhD / MTech by Research

What the posting states about who can apply. Read the posting for its full list.

1. Check what they ask for. Read the requirements above.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
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Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

1 Oct 2026, on Marvell Technology’s careers site (Workday)

First seen by InternDoor

1 Oct 2026

Last checked

15 Nov 2026: the role was still listed on Marvell Technology’s careers site. We have not checked its application page.

Application deadline

Marvell Technology has not stated one

Leaves InternDoor

When the role leaves Marvell Technology’s careers site, or its application link stops working, and by 29 Jan 2027 at the latest

Application page

marvell.wd1.myworkdayjobs.com

What we checked, and what the dates mean

The latest date is our own limit for careers-site listings, 120 days from the date it was posted, not a deadline set by Marvell Technology.

InternDoor has recorded 12 engineering postings from Marvell Technology in India since Oct 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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