Research Scientist, Generative AI for Physical AI - PhD New College Grad 2025

Details

Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join the Cosmos research team to develop generative models that bridge virtual and physical realms. This Research Scientist role focuses on generative AI for physical AI, working with state-of-the-art technology and massive computational resources.

Responsibilities

• Pioneer generative AI algorithms for physical AI applications, focusing on advanced video generative models and video-language models.
• Architect and implement data processing pipelines that produce high-quality training data for generative and physical AI systems.
• Design and develop physics simulation algorithms to enhance physical AI training.
• Scale and optimize large-scale training systems to efficiently utilize 20,000+ GPUs for training foundation models.
• Author research papers to share discoveries with the global AI community.
• Collaborate closely with internal research teams, product groups, and external researchers to drive innovation.
• Facilitate technology transfer and contribute to open-source initiatives.

Requirements

• 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 models, 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 (Preferred / Nice-to-have)

• 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.

Compensation & Benefits

• Base salary range: 160,000 USD - 258,750 USD (determined based on location, experience, and pay of employees in similar positions).
• Eligible for equity and company benefits.
• Access to world-class computing resources and opportunity to work on real-world systems.

Additional Information

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Application window: Applications accepted at least until November 2, 2025.
• Employer statement: NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.