Applications are currently being accepted for the NVIDIA AI-Mediated Reality and Interaction (AMRI) Internship 2027. Interested applicants are encouraged to click here to learn more about this opportunity and apply for it.
About NVIDIA AMRI Internship
NVIDIA AMRI is a research opportunity for PhD candidates focused on computer vision and artificial intelligence; the NVIDIA AMRI internship connects applicants with NVIDIA Research’s AI-Mediated Reality and Interaction (AMRI) group to contribute to robotics, human-AI interaction, embodied AI, and 4D world modeling. The focus is on publishing research and driving technology transfer into NVIDIA products.
The internship is offered by NVIDIA Research and places interns within the AMRI team to collaborate with interdisciplinary researchers on basic scientific issues related to robotics, neural rendering, world models, and human behavior understanding. The program emphasizes academic achievement, practical impact, and access to top-tier computational resources.
Benefits of NVIDIA AMRI Internship
- The internship provides a chance to contribute to cutting-edge research in robotics, human-AI interaction, embodied AI, and 4D world modeling.
- Interns join a cooperative setting that emphasizes scientific rigor, innovation, and curiosity and get the chance to publish significant findings and see ideas develop into products used globally.
NVIDIA AMRI Internship Requirements
- Candidates should be enrolled in a PhD program in a pertinent technical or quantitative field, such as Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics
- Applicants must have a solid theoretical and practical understanding of computer vision and artificial intelligence.
- Applicants must have the knowledge of distributed deep learning frameworks, especially PyTorch.
- Applicants must have outstanding C++ and Python programming abilities.
- Applicants must have the knowledge of CUDA for GPU processing.
- Applicants must have good communication skills both in writing and speaking.
- While not required, familiarity with computer graphics is thought to be an added benefit.
- Candidates should show that they have an exceptional track record of academic research, especially through publications at prestigious conferences on AI, computer vision, and graphics.
Application Date and Process
- Click on the link to the application website to apply.
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