NVIDIA is looking to revolutionize the future of physical AI by developing next-generation algorithms that bridge the gap between virtual and physical realms, using groundbreaking generative models.
Requirements
- 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
- Experience with large-scale distributed training systems
- Background in robotics or physical systems
Responsibilities
- Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus 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 your 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
Other
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
- Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
- Open-source contributions to prominent AI projects
- History of successful research-to-product transitions
- Creative and autonomous research scientist with a genuine passion for advancing the state of AI
