Research Intern, Spatial Intelligence - Summer 2027

What you'll do

• Research, design, and implement methods in areas such as generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and VLMs.
• Publish original research at the end of the internship.
• Collaborate with team members, other teams, and external researchers.

What they ask for

• Currently a second-year Ph.D. student or beyond in a field such as Computer Science/Engineering or Mathematics.
• Excellent knowledge of computer vision methods and deep learning, plus excellent programming skills in a rapid-prototyping environment such as Python.
• Knowledge of machine learning frameworks such as PyTorch; C++ and parallel programming (e.g., CUDA); and version control systems such as git.
• Outstanding research track record and at least 2 papers (1 as main author) published at top venues CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR; excellent communication skills.

Pay

38 USD - 94 USD hourly rate

Tools

Python, C++, CUDA, PyTorch, git

AI focus

Research on generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and VLMs. NVIDIA also states that it uses AI tools in recruiting processes.