PhD Research Intern: Embodied & Agentic AI

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA is seeking several interns to join the Learning and Perception research team for an internship in embodied and agentic AI, such as perception, agentic reasoning, multi-modal and continual learning.

You will work with mentors and a world-class research group to design, implement, and evaluate novel AI methods, prototyping rapidly and translating breakthroughs to real-world products with collaboration from product and engineering teams.

Qualifications

• Must be pursuing a PhD in Computer Science/Engineering, Electrical Engineering, etc.
• Excellent knowledge of theory and practice of AI, in particular in computer vision, LLMs, and agents.
• Excellent programming skills in Python and C++.
• Knowledge of common ML frameworks, such as PyTorch.
• Promising research track record.
• Excellent communications skills.

Responsibilities

• Research, design, and implement novel embodied and agentic AI methods.
• Collaborate with mentor and broader team of researchers to develop ideas from hypothesis through experimentation.
• Partner with product and engineering groups to transfer research breakthroughs into real-world applications.
• Rapidly prototype and iterate on ideas using state-of-the-art hardware and infrastructure.

Skills

AI theory

Computer vision

LLMs

Agentic AI

Python

C++

PyTorch

Communication

Education

PhD in CS/Engineering

Tools

PyTorch

CUDA

Python IDEs

C++

Job description

NVIDIA is seeking several interns to join the Learning and Perception research team for an internship in embodied and agentic AI, such as perception, agentic reasoning, multi-modal and continual learning.

You will work with mentors and a world-class research group to design, implement, and evaluate novel AI methods, prototyping rapidly and translating breakthroughs to real-world products with collaboration from product and engineering teams.