society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
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What you will be doing:
Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA’s business.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products,and/or publishing original research
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:
Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX,Tensorflow, etc.)
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training is a plus.
Potential internships require research experience in at least one of the following areas:
Multimodal Foundation Models
Diffusion Models
World Models
Image, Video, or Audio Generation
Large Language Models
Vision-Language Models
Action-Based Transformers
Long Context Methods
Physics-Based Simulation
Flow Based Generative Models
Synthetic Data Generation
AI for Science
Protein/Molecule Generation
Climate Modeling and Weather Forecasting
Partial Differential Equations (PDEs)
and other helpful student resources related to our latest technologies and endeavors.
You will also be eligible for Intern
Applications are accepted on an ongoingbasis.NVIDIAמשרות נוספות שיכולות לעניין אותך