{"schemaVersion":"jobsearcher.job.v1","id":"83feb4e9725bfded69e93bd9","url":"https://jobsearcher.com/jobs/83feb4e9725bfded69e93bd9","canonicalUrl":"https://jobsearcher.com/jobs/83feb4e9725bfded69e93bd9","title":"Research Intern Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (MS/PhD, 612 months)","description":"Join 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.\n\nRequirements: Currently pursuing an MS or PhD in Robotics, Computer Science, Electrical Engineering, or related field Strong software engineering skills in Python (C++ a plus) in Linux environments: you write clean, working code and can debug across the stack Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time (+) Experience with ROS 2 or comparable robotics middleware, or real-time systems (+) Experience deploying or evaluating learned policies on real hardware (+) Familiarity with robot learning (imitation learning, vision-language-action models) — enough to understand what models need from data\n(+) Experience with dexterous hands, tactile sensing, or contact-rich manipulation setups\n\nPaid internship with competitive compensation\nWork on cutting-edge problems in robot learning and manipulation\nMentorship from researchers and engineers working at the frontier of embodied intelligence\nAccess to real robot hardware and large-scale robot datasets\nOpportunity to publish or contribute to high-impact research alongside product-driven development\n\nBuild and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows\nSupport data collection operations on real robots and help raise throughput and data quality\nContribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling\nBuild QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy\nHelp deploy trained policies to real hardware and run on-robot evaluations\nAssist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs\nWork directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated result","company":"Proception","rawCompany":"proception","city":"Mountain View","state":"HI","isRemote":false,"isActive":false,"createdAt":"2026-08-13T15:25:40.224Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Intern Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (MS/PhD, 612 months)","description":"Join 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.\n\nRequirements: Currently pursuing an MS or PhD in Robotics, Computer Science, Electrical Engineering, or related field Strong software engineering skills in Python (C++ a plus) in Linux environments: you write clean, working code and can debug across the stack Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time (+) Experience with ROS 2 or comparable robotics middleware, or real-time systems (+) Experience deploying or evaluating learned policies on real hardware (+) Familiarity with robot learning (imitation learning, vision-language-action models) — enough to understand what models need from data\n(+) Experience with dexterous hands, tactile sensing, or contact-rich manipulation setups\n\nPaid internship with competitive compensation\nWork on cutting-edge problems in robot learning and manipulation\nMentorship from researchers and engineers working at the frontier of embodied intelligence\nAccess to real robot hardware and large-scale robot datasets\nOpportunity to publish or contribute to high-impact research alongside product-driven development\n\nBuild and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows\nSupport data collection operations on real robots and help raise throughput and data quality\nContribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling\nBuild QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy\nHelp deploy trained policies to real hardware and run on-robot evaluations\nAssist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs\nWork directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated result","datePosted":"2026-08-13T15:25:40.224Z","dateModified":"2026-08-13T15:25:40.224Z","hiringOrganization":{"@type":"Organization","name":"Proception","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"HI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83feb4e9725bfded69e93bd9"},"url":"https://jobsearcher.com/jobs/83feb4e9725bfded69e93bd9"}}