Robotics Simulation & Synthetic Data Intern

Deccan AI is a model training and evaluation startup headquartered in Mountain View, CA. Founded by IIT Bombay, IIM Ahmedabad, and ex-Google alumni, we work with top AI frontier labs—including Google DeepMind and Snowflake—to build expert-curated datasets and evaluation infrastructure that power the next generation of AI. We are backed by Prosus Ventures, with a delivery center in Hyderabad, India.

Our Physical Intelligence practice is building the data backbone for embodied AI—synthetic trajectories, human demonstration datasets, and evaluation frameworks that help robots learn manipulation, locomotion, and reasoning skills at scale.

Training the next generation of robot foundation models demands an order-of-magnitude more data than manual teleoperation can deliver. NVIDIA's Isaac GR00T and Cosmos pipelines have shown that a handful of human demonstrations can be amplified into hundreds of thousands of physically accurate synthetic trajectories—cutting months of data collection to hours.

As a Robotics Simulation & Synthetic Data Intern, you will own the end-to-end synthetic data generation pipeline: from configuring simulation environments in NVIDIA Isaac Sim and Isaac Lab, to running GR00T-Mimic trajectory expansion, to applying Cosmos Transfer for photorealistic domain augmentation. Your output will directly feed into training runs for VLA (Vision-Language-Action) models and be delivered to Deccan AI's frontier lab clients.

This is a high-impact, hands-on role. You won't be writing documentation or shadowing—you'll be generating the data that makes robots smarter.