Job Description
Do you want to build the scalable reinforcement learning framework that powers the next generation of humanoid and quadruped robots? As a Staff RL Research Engineer, you'll own the RL stack, including massively parallel simulation, domain randomization, policy optimization, and on-robot deployment. Your job is to make the pipeline fast, reliable, and reproducible. You'll work alongside world-class engineers and scientists pushing the boundaries of whole-body control and dexterous manipulation.
In this role, you will:
Implement on-policy and off-policy learning algorithms
Scale GPU-accelerated simulation to generate millions of samples per second
Crack sim-to-real to produce policies that transfer to the physical robot
Integrate RL with VLAs to fine-tune and distill large multimodal policies
Make deployment ...