{"schemaVersion":"jobsearcher.job.v1","id":"b71fcfd2619dfcd5a2ce6a7a","url":"https://jobsearcher.com/jobs/b71fcfd2619dfcd5a2ce6a7a","canonicalUrl":"https://jobsearcher.com/jobs/b71fcfd2619dfcd5a2ce6a7a","title":"Robotics Systems Engineer","description":"Must be located near the Bay Area, with reliable transport to San Francisco, CA.\n\nAbout Us\n\nWe are a well-capitalized stealth startup building robotic foundation models and world models for Physical AI. Founded by researchers from leading AI labs, our team works across robot hardware, data, infrastructure, and machine learning.\n\nThe Role\n\nWe are looking for a hands-on Robotics Systems Engineer to build and operate the robotic platforms behind our research.\n\nYou will work across hardware, embedded systems, robot software, communications, calibration, data collection, evaluation, and deployment. This role is broader than mechatronics: you should be comfortable debugging the complete system, from sensors and actuators, close loop control, and learned-policy evaluation.\n\nResponsibilities\n\nBring up, integrate, and maintain humanoids, robotic arms, and custom platforms.\n\nDebug mechanical, electrical, networking, communication, and software failures.\n\nIntegrate and help design sensors, actuators, motor controllers, embedded devices, compute, wiring, and power systems.\n\nDevelop robot drivers, hardware interfaces, diagnostics, and automation in Python or C++.\n\nBuild distributed robotics software using ROS, ROS 2, ZMQ, and related technologies.\n\nMaintain teleoperation, robot data collection, dataset validation, and policy-evaluation software.\n\nPerform calibration, functional testing, reliability testing, and performance characterization.\n\nDevelop logging, monitoring, health checks, and fault-recovery tools.\n\nWork with ML researchers to deploy and evaluate learned policies on physical robots.\n\nImprove system reliability, performance, safety, and maintainability.\n\nUse AI coding agents to accelerate implementation, testing, debugging, and documentation.\n\nQualifications\n\nBS or MS in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Science, or a related field.\n\nExperience integrating or operating complete robotic systems.\n\nProficiency with Linux, Git, and Python or C++.\n\nFamiliarity with ROS, ROS2, ZMQ or similar communication frameworks.\n\nFamiliarity with sensors, actuators, embedded electronics, networking, and robot system design.\n\nUnderstanding of robot-learning workflows and their hardware and electronics requirements.\n\nExperience with robot data collection or evaluation software.\n\nStrong cross-stack debugging and problem-solving skills.\n\nExperience using AI coding agents such as Claude Code, Codex, or comparable tools, including reviewing and validating generated code.\n\nComfortable working in a fast-moving environment and taking ownership of ambiguous problems.\n\nNice to Have\n\nExperience with humanoids, manipulators, quadrupeds, or mobile robots.\n\nExperience with teleoperation or learned-policy deployment.\n\nFamiliarity with CAN, EtherCAT, DDS, SPI, UART, or real-time systems.\n\nEmbedded programming experience with STM32, ESP32, Raspberry Pi, Jetson, or similar platforms.\n\nExperience with camera, tactile, force-torque, encoder, or IMU integration and calibration.\n\nFamiliarity with multimodal data synchronization, experiment tracking, and robotics evaluation metrics.\n\nCAD, machining, wiring, soldering, or rapid-prototyping experience.\n\nWhat You Will Gain\n\nBuild advanced robots alongside experienced AI researchers and roboticists.\n\nWork across the complete robot-learning stack, from hardware to foundation models.\n\nHelp shape the systems and engineering practices of an early-stage robotics company.\n\nHiring Process\n\nIntroductory conversation\n\nTechnical interview\n\nOne-day on-site assessment (paid at $40/hr).\n\nInitial six-month contract with strong potential for a longer-term opportunity.\n\nLogistics & Benefits\n\nLocation: San Francisco, CA (South Beach/SoMa) — on-site 5 days a week\n\nSchedule: Full-time, 40 hours/week, including a 30-minute lunch break\n\nEmployment: W-2, facilitated through Hire.io\n\nCompensation: $40+/hour, negotiable based on experience","company":"Dream Labs","rawCompany":"dream labs","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-21T11:51:32.597Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"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":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Systems Engineer","description":"Must be located near the Bay Area, with reliable transport to San Francisco, CA.\n\nAbout Us\n\nWe are a well-capitalized stealth startup building robotic foundation models and world models for Physical AI. Founded by researchers from leading AI labs, our team works across robot hardware, data, infrastructure, and machine learning.\n\nThe Role\n\nWe are looking for a hands-on Robotics Systems Engineer to build and operate the robotic platforms behind our research.\n\nYou will work across hardware, embedded systems, robot software, communications, calibration, data collection, evaluation, and deployment. This role is broader than mechatronics: you should be comfortable debugging the complete system, from sensors and actuators, close loop control, and learned-policy evaluation.\n\nResponsibilities\n\nBring up, integrate, and maintain humanoids, robotic arms, and custom platforms.\n\nDebug mechanical, electrical, networking, communication, and software failures.\n\nIntegrate and help design sensors, actuators, motor controllers, embedded devices, compute, wiring, and power systems.\n\nDevelop robot drivers, hardware interfaces, diagnostics, and automation in Python or C++.\n\nBuild distributed robotics software using ROS, ROS 2, ZMQ, and related technologies.\n\nMaintain teleoperation, robot data collection, dataset validation, and policy-evaluation software.\n\nPerform calibration, functional testing, reliability testing, and performance characterization.\n\nDevelop logging, monitoring, health checks, and fault-recovery tools.\n\nWork with ML researchers to deploy and evaluate learned policies on physical robots.\n\nImprove system reliability, performance, safety, and maintainability.\n\nUse AI coding agents to accelerate implementation, testing, debugging, and documentation.\n\nQualifications\n\nBS or MS in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Science, or a related field.\n\nExperience integrating or operating complete robotic systems.\n\nProficiency with Linux, Git, and Python or C++.\n\nFamiliarity with ROS, ROS2, ZMQ or similar communication frameworks.\n\nFamiliarity with sensors, actuators, embedded electronics, networking, and robot system design.\n\nUnderstanding of robot-learning workflows and their hardware and electronics requirements.\n\nExperience with robot data collection or evaluation software.\n\nStrong cross-stack debugging and problem-solving skills.\n\nExperience using AI coding agents such as Claude Code, Codex, or comparable tools, including reviewing and validating generated code.\n\nComfortable working in a fast-moving environment and taking ownership of ambiguous problems.\n\nNice to Have\n\nExperience with humanoids, manipulators, quadrupeds, or mobile robots.\n\nExperience with teleoperation or learned-policy deployment.\n\nFamiliarity with CAN, EtherCAT, DDS, SPI, UART, or real-time systems.\n\nEmbedded programming experience with STM32, ESP32, Raspberry Pi, Jetson, or similar platforms.\n\nExperience with camera, tactile, force-torque, encoder, or IMU integration and calibration.\n\nFamiliarity with multimodal data synchronization, experiment tracking, and robotics evaluation metrics.\n\nCAD, machining, wiring, soldering, or rapid-prototyping experience.\n\nWhat You Will Gain\n\nBuild advanced robots alongside experienced AI researchers and roboticists.\n\nWork across the complete robot-learning stack, from hardware to foundation models.\n\nHelp shape the systems and engineering practices of an early-stage robotics company.\n\nHiring Process\n\nIntroductory conversation\n\nTechnical interview\n\nOne-day on-site assessment (paid at $40/hr).\n\nInitial six-month contract with strong potential for a longer-term opportunity.\n\nLogistics & Benefits\n\nLocation: San Francisco, CA (South Beach/SoMa) — on-site 5 days a week\n\nSchedule: Full-time, 40 hours/week, including a 30-minute lunch break\n\nEmployment: W-2, facilitated through Hire.io\n\nCompensation: $40+/hour, negotiable based on experience","datePosted":"2026-10-21T11:51:32.597Z","dateModified":"2026-10-21T11:51:32.597Z","hiringOrganization":{"@type":"Organization","name":"Dream Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b71fcfd2619dfcd5a2ce6a7a"},"url":"https://jobsearcher.com/jobs/b71fcfd2619dfcd5a2ce6a7a"}}