Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026

Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026 page is loaded## Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026locations: US, CA, Santa Claratime type: Full timeposted on: Posted Todayjob requisition id: JR2016032As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.**What you'll be doing:*** 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**What we need to see:*** PhD in Computer Science, Computer Engineering, Electrical Engineering, or 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 from the crowd:*** 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 transitionsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.You will also be eligible for equity and .Applications for this job will be accepted at least until April 14, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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