Steve Xie spent years leading simulation at Cruise and NVIDIA before founding Lightwheel — and in that time he watched simulation go from a tool that was "great for showcasing to investors" to what he believes will become the core infrastructure layer for all of physical AI.

In this episode, we sit down with Steve to break down Lightwheel's three-pillar framework for simulation infrastructure: World, Behavior, and Evaluation — and why getting all three right is what separates serious simulation from everything else. We also get into the physical measurement factory, the data scale that Lightwheel is hitting in 2025, and why RoboFinals may become the industry-standard benchmark for frontier robotics models.

In this episode we discuss:
- Why simulation started as a "toy" at Cruise and how Steve changed that.
- The difference between a visually realistic asset and a physically accurate one.
- Why Lightwheel operates one of the world's largest robotics arm factories.
- How egocentric data and simulation data work together in the behavior layer.
- The data pyramid: why real teleoperation is just the tip of the iceberg.
- Why academic benchmarks are maxing out and what RoboFinals does differently.
- How World, Behavior, and Eval form a flywheel — not just a stack.
- The agentic core Steve sees sitting at the center of it all.
- Why robotics data collection may eventually require a billion people.

About Steve Xie:
Steve Xie is the Co-Founder and CEO of Lightwheel. He brings over a decade of experience building simulation infrastructure across some of the most demanding environments in physical AI. Steve led the simulation department at Cruise during the early days of autonomous vehicles, then joined NVIDIA where he worked closely with the Omniverse team and developed his vision for simulation as next-generation physical AI infrastructure. He founded Lightwheel to build that infrastructure from the ground up.

Follow Steve on LinkedIn: https://www.linkedin.com/in/stevexiecbs/

About Lightwheel:
Lightwheel is building the simulation infrastructure that physical AI needs to succeed — spanning world generation, behavior data, and evaluation. Their products include SimReady Assets, EgoSuite for egocentric data collection, and RoboFinals, an industrial-grade robotics evaluation platform co-developed with NVIDIA.

SimReady Assets: https://simready.com/
Learn more at: https://lightwheel.ai/
Resources mentioned in this episode:
LW-BenchHub: https://github.com/LightwheelAI/LW-BenchHub
LeIsaac: https://github.com/LightwheelAI/leisaac
IsaacLab-Arena: http://github.com/isaac-sim/IsaacLab-Arena

Thanks to Lightwheel for making this episode possible. Learn about how Lightwheel is making physical AI successful at https://lightwheel.ai