Jaiveer Singh leads NVIDIA's Isaac ROS, an open-source robotics software platform that democratizes access to GPU-accele

NVIDIA robotics software engineer Jaiveer Singh focuses on the foundational infrastructure that moves physical AI from demo floors to real-world deployment. Isaac ROS, built on the open source ROS 2 framework, brings CUDA-accelerated libraries and AI models to developers across autonomous mobile robots, manipulation systems and humanoids.

Singh's path to leading Isaac ROS began with LEGO Mindstorms in middle school and continued through robotics competitions in high school. He studied electrical engineering, computer science and business at the University of California, Berkeley, then joined NVIDIA following an internship with the robotics team. The work he now leads originated as his intern project, which tested whether releasing open source robotics software using the NVIDIA Jetson platform and CUDA libraries would provide value to developers. The answer was yes, because developers want to unlock the full power of their GPUs.

Building reliable robotic systems across different sensors, platforms, factories and labs moves slower than viral videos of robot demonstrations, but robotics at scale requires a complete stack: simulation, training, accelerated computing, AI models, middleware and edge deployment. Isaac ROS supports manipulation, mobility and humanoids with packages for perception, object detection, mapping, collision detection and motion planning, running on workstations, NVIDIA DGX Spark personal AI supercomputers and NVIDIA Jetson edge systems.

Singh describes Isaac ROS as completely modular compared with the original Isaac SDK. The software ships like LEGO bricks that developers can assemble however they choose, easily combining NVIDIA packages with existing ROS code from their own work or the global robotics community. Open source matters most because it gives developers confidence to build on a platform that will remain modifiable and improvable years into the future, at a time when the robotics landscape shifts rapidly and humanoid robots have moved from science fiction to an active engineering frontier.

For Singh, open source is about sharing both confidence and responsibility. When robotics startups build on closed systems, they must trust those systems will meet their needs in the future. With open software, developers can inspect code, change it, contribute fixes and carry it forward. One company's bug fix becomes another company's acceleration.