Join NVIDIA's Cosmos team as a Research Scientist specializing in Generative AI for Physical AI. This role focuses on developing innovative algorithms that connect virtual and physical worlds using advanced generative models. You will work with cutting-edge technology and extensive computational resources to drive research that impacts real-world applications. Your contributions will help shape the future of AI at the intersection of digital intelligence and physical reality.

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development.
• Strong foundation in diffusion, vision language, and reasoning models and their applications.
• Proven experience with reinforcement learning algorithms and implementations.
• Robust knowledge of physics simulation and its integration with AI systems.
• Demonstrated proficiency in 3D generative models and their applications.

• Pioneer revolutionary generative AI algorithms for physical AI applications, focusing on advanced video generative models and video-language models.
• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems.
• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training.
• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models.
• Author influential research papers to share groundbreaking discoveries with the global AI community.
• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers.
• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.