Nvidia Research Scientist Video GenAI Embodied AI - New College Grad 

United States, California 

709979496

NVIDIA is searching for a world-class researcher in video foundation model and embodied AI to join our research team. You will be conducting original research for video GenAI and Embodied, including world models,visual-language-actionmodels, and long context models. You will be working with a team of world-class researchers eager to make great impacts. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into various downstream applications including humanoid robotic and GenAI products. You will summarize your research findings in extremely high-quality scientific publications.

What you'll be doing:

• Conduct original research in the space of Embodied AI,video foundation models orlong context methods

• Implement and train large-scale GenAI models for various downstream applications including humanoid robots and GenAI APIs.

• Publish and present your original research, speak at conferences and events

• Collaborate with other research team members, a diverse set of internal product teams, and external researchers

• Have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups

What we need to see:

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)

• Hands-on experience with processing or curating large-scale datasets

• Knowledgeable and experienced in Embodied AI

• Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, computer graphics, and robotics

• Track record of research excellence or significant product development

• Excellent collaboration and interpersonal skills

• Excellent python/C++ programming skills

• Great knowledge of common deep-learning frameworks

Ways to stand out from the crowd:

• Experience with any of the following areas: LLM, diffusion models, Humanoid Robots,Embodied AI,long context

• Great implementation skills