Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Agentic AI
CUDA @ 3
Communication @ 3
Computer Vision @ 7
Experimentation
LLM
Machine Learning @ 3
Parallel Programming @ 3
PyTorch @ 3
Python @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking several interns to join the Learning and Perception research team for internships focused on embodied and agentic AI, including perception, agentic reasoning, multimodal and continual learning, and AI research. The team conducts research with real-world impact and has a history of publishing internship results at leading computer vision and machine learning venues. Interns will work with experienced mentors on projects matched to their expertise.
Responsibilities
- Research, design, and implement novel embodied and agentic AI methods.
- Collaborate with mentors and a broader team of researchers to develop ideas from initial hypotheses through rigorous 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.
Requirements
- Must be pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Excellent knowledge of AI theory and practice, particularly computer vision, large language models, and AI agents.
- Excellent programming skills in a rapid prototyping environment such as Python or C++.
- Knowledge of common machine learning frameworks such as PyTorch.
- Promising research track record.
- Excellent communication skills.
Preferred Qualifications
- Knowledge of parallel programming, such as CUDA.
Benefits
NVIDIA offers competitive salaries and a generous benefits package. Interns are eligible for intern benefits.
The internship hourly rate is USD 38–94, based on the position, location, year in school, degree, and experience. Applications will be accepted at least until October 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.