Jibin Rajan Varghese

I currently lead work in Agentics and Physical AI on NVIDIA Cosmos, building world foundation models that help robots, autonomous vehicles, and other embodied systems learn in simulation before they act in the real world. I am a core contributor to the Cosmos model family, from Cosmos 1 through Cosmos 3, and PIC for AI and Cloud Security across Edify and Cosmos. I am also a founding member of the Red Team 🚩 for safe, unbiased, and trustworthy multi-modal AI.

Previously, I worked with the Autonomous Vehicles business unit at Nvidia, focusing on hyper-scale simulation, replay, and validation of self-driving vehicles in the cloud. I was instrumental in optimizing performance for DRIVE simulation and augmented re-simulator, significantly enhancing data-center utilization and workflow efficiency. My work has enabled autonomous vehicles to become safer, by training them to drive billions of miles in photorealistic virtual worlds by performing hardware-in-the-loop simulation. My earlier roles involved leading impactful projects in robot simulation and industrial automation for the software simulation leader (Dassault Systèmes SE) and the world’s largest 3-wheeler automaker (Bajaj Auto) respectively.

I hold a Master’s in Computer Science from Texas A&M University and a Bachelor’s in Mechanical Engineering from National Institute of Technology Calicut. I have also developed multiple patented technologies in robotics and authored a seminal work on disaster management using autonomous quadcopter swarms, published in a book chapter by Elsevier.

As a domain expert in AI and unmanned systems, I’ve contributed to various articles and conferences including showcasing the world’s first map of music at ACM Multimedia. Outside of work, I currently review for NeurIPS on the AI Ethics panel and judge various industry competitions. Previously, I’ve shared my expertise as an instructor at robotics workshops, such as RobArch at ETH Zurich, Switzerland.