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

Overview

Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join our groundbreaking research team as we revolutionize the future of physical AI through generative models. We are hiring Research Scientists to join our Cosmos team!

As a Research Scientist specializing in Generative AI for Physical AI, you will develop next‑generation algorithms that bridge virtual and physical realms. You will work with state‑of‑the‑art technology and large computational resources to bring your ideas to life.

• 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 high‑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 harness 20,000+ GPUs for foundation models
• Author influential research papers to share discoveries with the global AI community
• Drive innovation through collaboration with research teams, product groups, and external researchers
• Build lasting impact by facilitating technology transfer and contributing to open‑source initiatives

• 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

• 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

You’ll be part of a team that defines the future of Physical AI, with access to world‑class computing resources and the opportunity to work on problems that matter. Your research will be implemented in real‑world systems that push the boundaries of what's possible in AI, shaping the future where digital intelligence meets physical reality.

Your 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 benefits.

We are committed to fostering a diverse work environment and are proud to be 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.