NVIDIA
Research Scientist, Generative AI for Physical AI - PhD New College Grad 2025
NVIDIA, Santa Clara, California, us, 95053
Research Scientist, Generative AI for Physical AI – PhD New College Grad 2025
Join our groundbreaking research team at
NVIDIA
as a Research Scientist specializing in Generative AI for Physical AI. You will help revolutionize the future of physical AI through pioneering generative models that bridge the digital and physical worlds.
Responsibilities
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
Qualifications
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
Ways to Stand Out
Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
Experience with large‑scale distributed training systems
Background in robotics or physical systems
Open‑source contributions to prominent AI projects
History of successful research‑to‑product transitions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $160,000 – $258,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted until November 2, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIA
as a Research Scientist specializing in Generative AI for Physical AI. You will help revolutionize the future of physical AI through pioneering generative models that bridge the digital and physical worlds.
Responsibilities
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
Qualifications
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
Ways to Stand Out
Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
Experience with large‑scale distributed training systems
Background in robotics or physical systems
Open‑source contributions to prominent AI projects
History of successful research‑to‑product transitions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $160,000 – $258,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted until November 2, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#J-18808-Ljbffr