Teams at Dream Labs

Build, integrate, operate, and maintain humanoids, robotic arms, and custom platforms. Debug mechanical, electrical, networking, embedded, and software issues; develop robot drivers, interfaces, diagnostics, and distributed robotics software; perform calibration and testing; maintain data collection and evaluation systems; and deploy learned policies on physical robots. The role requires cross-stack troubleshooting, reliability improvements, and collaboration with machine learning researchers in an on-site startup environment.

Build and operate production software supporting robot learning, including data and infrastructure systems, researcher and operator tools, APIs, services, databases, monitoring, diagnostics, and cloud infrastructure. The role involves end-to-end ownership, cross-stack debugging, reliability improvements, scaling architecture, and collaboration with machine learning researchers, robotics engineers, and robot operators.