Member of Technical Staff, Robotics Engineer
New York, NY$270k - $370kFull-timePosted 3mo ago
About the role
Building general world models and deploying world-model-based policies onto real robots, bridging learned representations with hardware across the full stack of robot learning.
Responsibilities
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
Qualifications
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Skills
Required:Real-world robot deploymentSoftware-to-robot interfaces
Last updated Oct 25, 2026. Interested? Apply on the company site.
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