🚀 Research Intern (MS/PhD, 6–12 months) – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems

All open rolesAI🚀 Research Intern (MS/PhD, 6–12 months) – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot SystemsMountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin our team to help build the data engine behind general-purpose robot policies. You'll work on the pipeline from teleoperated demonstration collection through curation and quality control to on-robot deployment — the systems that turn robot time into training data, and trained policies into robots that work in the real world. You'll own a concrete piece of this stack end to end, working directly with our engineering and research team on real hardware. We care more about your ability to build things that work on real robots than about any particular robot, task, or sensor you've used before.Requirements01Currently pursuing an MS or PhD in Robotics, Computer Science, Electrical Engineering, or related field02Strong software engineering skills in Python (C++ a plus) in Linux environments: you write clean, working code and can debug across the stack03Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships04Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training05Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization06Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time07(+) Experience with ROS 2 or comparable robotics middleware, or real-time systems08(+) Experience deploying or evaluating learned policies on real hardware09(+) Familiarity with robot learning (imitation learning, vision-language-action models) — enough to understand what models need from data10(+) Experience with dexterous hands, tactile sensing, or contact-rich manipulation setupsDetails & responsibilities01Build and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows02Support data collection operations on real robots and help raise throughput and data quality03Contribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling04Build QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy05Help deploy trained policies to real hardware and run on-robot evaluations06Assist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs07Work directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated resultCompensation & benefits01Paid internship with competitive compensation02Work on cutting-edge problems in robot learning and manipulation03Mentorship from researchers and engineers working at the frontier of embodied intelligence04Access to real robot hardware and large-scale robot datasets05Opportunity to publish or contribute to high-impact research alongside product-driven developmentInterested in this role?Applying takes a few minutes — you'll need an account to submit.Apply now