Marvell

Actively Hiring

Physical Ai Platform Intern

Hyderabad, India

Full time

Role Overview

Prototype and prove what next-generation Physical AI platforms can do by building the platforms and infrastructure that Physical AI runs on, including intelligence, networking, and silicon.

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

Key Responsibilities

Prototype and prove what next-generation Physical AI platforms can do
Write and optimize CUDA to extract maximum performance from limited memory and low-end GPUs
Build the compute, networking, and security platforms that autonomous systems run on
Engineer agentic capabilities — systems that plan, decide, and act on their own
Design and train ML models and SLMs for perception, reasoning, and action on real-world input (video, audio, sensors)

Requirements & Eligibility

Enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, electronics or Electrical Engineering, Robotics or a related field.
Strong GPU and CUDA programming skills — kernel optimization, memory management, and performance tuning under tight resource constraints
Strong fundamentals in machine learning, computer architecture, and systems
Experience with robotic platforms or real-world AI applications (perception, sensors, or real-time control)
Programming in C/C++ and Python
Hands-on with ML modeling, training, and fine-tuning (PyTorch or TensorFlow)

Required Skills & Tech

CUDAC/C++PythonPyTorchTensorFlowGPUMachine LearningROS