Research Scientist, Generative AI for Physical AI - PhD New College Grad 2025
at Nvidia
π Santa Clara, United States
USD 160,000-258,800 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Algorithms @ 3 PyTorch @ 3Details
Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join our Cosmos research team to develop generative models that bridge virtual and physical realms. You will have access to massive computational resources and work on problems that move research into real-world 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 high-quality training data for Generative AI and Physical AI systems.
- Design and develop 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 research papers and share discoveries with the global AI community.
- Collaborate closely with research teams, internal 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
- 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 other benefits (see company benefits link provided in original posting).
Additional Information
- Applications accepted at least until August 25, 2025.
- Employer: NVIDIA. Commitment to diversity and equal opportunity stated in the original posting.