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Design and train spatiotemporal neural simulators for long-form, controllable video/world modeling. Own end-to-end large-scale training of multi-billion-parameter models, manage GPU-cluster experiments, diagnose failure modes, improve data mixtures, and tighten evaluation to drive measurable gains.

Develop and train whole-body control policies for locomotion and manipulation, build scalable simulation environments, design rewards and curricula, own sim-to-real transfer, and run large-scale GPU training experiments.

The Mechanical Engineer will design and prototype mechanical systems for robots, working closely with various teams to ensure high-volume production and reliability.

As a Data Infrastructure Engineer, you will create large-scale data processing systems, ensuring efficient data flow and collaborating with teams to tackle infrastructure challenges.

The role requires candidates to possess exceptional mental acuity, engineering curiosity, and a high-performance mindset to adapt in a fast-paced environment.

The role involves designing and building 3D perception systems for robots, integrating geometric vision pipelines and deep learning models, and collaborating with various teams.

As a Firmware and Motor Control Engineer, you'll design and implement low-level firmware and motor-control systems for robots, working closely with multi-disciplinary teams and ensuring reliable motion control.

Build core system software for robotics connecting hardware, firmware, and applications. Optimize performance and reliability; debug complex interactions.