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
CUDA @ 3
Communication @ 3
Computer Vision @ 7
Deep Learning @ 7
GenAI
Generative AI
Git @ 3
Machine Learning @ 3
Mathematics
Parallel Programming @ 3
PyTorch @ 3
Python @ 3
Reinforcement Learning
- 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 an outstanding computer vision and deep learning intern researcher to join its Spatial Intelligence Lab. The team focuses on research that pushes boundaries and has real-world impact.
Responsibilities
- Research, design, and implement methods for key research topics, including:
- Generative AI for videos
- Reconstruction
- Simulation
- Video understanding
- Policy learning
- Reinforcement learning
- Vision-language models (VLMs)
- Publish original research at the end of the internship.
- Collaborate with team members and other teams.
- Collaborate with external researchers.
Requirements
- Currently enrolled as at least a second-year Ph.D. student in a field such as Computer Science, Computer Engineering, or Mathematics.
- Excellent knowledge of the theory and practice of computer vision methods and deep learning.
- Excellent programming skills in a rapid prototyping environment such as Python.
- Experience with C++ and parallel programming, such as CUDA.
- Knowledge of common machine learning frameworks, such as PyTorch.
- Outstanding research track record.
- Very good publication record in computer vision, with a minimum of two papers, including at least one as the main author, published at top venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.
- Excellent communication skills.
- Good knowledge of version control systems, such as Git.
Benefits
- Intern hourly rates range from USD 38 to USD 94, based on the position, location, year in school, degree, and experience.
- Eligibility for intern benefits.
- NVIDIA is an AA/EEO/Veterans/Disabled employer and provides reasonable accommodations for individuals with disabilities during the application and interview process, for performing essential job functions, and for receiving other employment benefits and privileges.
Applications will be accepted at least until October 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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