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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4c15a709-175"},"title":"Robotics Technician","description":"<p><strong>Compensation</strong></p>\n<p>Estimated Base Salary $60K – $70K</p>\n<p><strong>Position Overview</strong></p>\n<p>We&#39;re an early-stage venture, building an automated physical system driven by robotic arms, live sensing, and a real-time software layer. We need a technician who can build, modify, and fix the physical machine.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Modify and retrofit tools and equipment so they can be driven by our control system - fabricating brackets and mounts, cutting, drilling, tapping, adapting pneumatics, adding actuation to tools that shipped as handheld</li>\n<li>Install and wire sensors, switches, actuators, and I/O; route and terminate cabling; build and label harnesses that survive a production cell</li>\n<li>Assemble, align, and calibrate robot cells, tooling, and fixtures as new builds come up; measure and verify that what you built matches what was drawn, and make mechanical adjustments as designs change</li>\n<li>Troubleshoot mechanical, pneumatic, and electrical faults on arms, tooling, and conveyance - isolate the root cause, fix what you can, and hand engineering a clear, specific description of what you found</li>\n<li>Work safely around energized and moving equipment: apply lockout/tagout before service, use appropriate PPE, and speak up when a guard, e-stop, or procedure isn&#39;t right</li>\n<li>Keep the machine&#39;s real state documented - redline schematics and drawings as things change, label what you build, record measurements, and log fixes so the next person isn&#39;t starting from zero</li>\n<li>Help stand up our preventive maintenance routine and spare parts list from scratch, and support demos and test runs end to end</li>\n<li>Other duties as assigned - this is an early-stage team and the work shifts</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Hands-on trade experience - mechanic, millwright, maintenance tech, fabricator, machinist, automotive/equipment tech, or similar, in a real physical setting</li>\n<li>Fabrication and mechanical work - confident with hand and power tools, drilling and tapping, basic metalwork, mounting and shimming things so they stay put</li>\n<li>Metrology - fluent with calipers, micrometers, dial indicators, squares, feeler gauges, and levels. You can measure to a stated tolerance, check flatness, squareness, and parallelism, verify fixture and tool alignment, and recognize when a stack-up of small errors is what&#39;s actually causing the problem</li>\n<li>Reading mechanical drawings and following a stated tolerance; comfortable with GD&amp;T basics or willing to learn them fast</li>\n<li>Working knowledge of safe practices around industrial equipment - lockout/tagout, PPE, and the awareness that a robot cell can crush, pinch, or move unexpectedly</li>\n<li>Diagnostic instinct - able to work a problem from symptom to cause on a machine you didn&#39;t build, without a troubleshooting tree</li>\n<li>Comfortable with ambiguity and change: most of what we build has no manual and will be different next month</li>\n<li>Clear communication, including writing down what you did</li>\n<li>High school diploma or equivalent. Trade school, apprenticeship, or an associate&#39;s in a technical field is a plus, but we care far more about what you&#39;ve built and fixed than about credentials</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Electrical work - reading electrical schematics, terminating connectors, wiring control panels and remote I/O, using a multimeter to check continuity, voltage, and signal</li>\n<li>Pneumatics, hydraulics, VFDs, servos, or stepper systems</li>\n<li>Advanced metrology - laser trackers, CMM, optical alignment, or robot cell calibration work</li>\n<li>Robot cell experience - teach pendants, jogging arms, touching up taught points, tool changes, fixture setup</li>\n<li>Microcontroller tinkering - Arduino, Raspberry Pi, or any experience hacking a chip into something that didn&#39;t have one</li>\n<li>Welding, machining, or CNC</li>\n<li>Woodworking, framing, cabinet shop, or lumber handling background</li>\n<li>Forklift or scissor/aerial lift certification</li>\n</ul>\n<p><strong>Working Conditions</strong></p>\n<ul>\n<li>On-site at our Northbrook, IL facility, 5 days/week</li>\n<li>Shop environment: noise, sawdust, moving machinery, and varying temperatures. PPE required</li>\n<li>Regularly lift and carry up to 50 lbs; stand, kneel, climb ladders, and move for a full shift</li>\n<li>Occasional evenings or weekends ahead of demos and milestones - we&#39;ll tell you in advance, and it isn&#39;t every week</li>\n</ul>\n<p><strong>Why Join LightSpeed</strong></p>\n<ul>\n<li>Build real machines: work hands-on with the robot cells, tooling, and fixtures in our manufacturing facility</li>\n<li>Direct impact: the systems you build and keep running produce homes and help address the housing crisis</li>\n<li>Grow with the system: learn robotics, controls, and automation alongside the engineers designing it</li>\n<li>Competitive compensation and comprehensive benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4c15a709-175/","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LightSpeed Build Technologies","sameAs":"https://lightspeed.com","logo":"https://logos.yubhub.co/lightspeed.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/lightspeed/1e377fcb-7ef8-4182-9727-a85e51ff719e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"Full time","x-salary-range":"$60K - $70K","x-skills-required":["mechanic","millwright","maintenance tech","fabricator","machinist","metrology","GD&T","lockout/tagout","PPE","diagnostic instinct","clear communication"],"x-skills-preferred":["electrical work","pneumatics","hydraulics","VFDs","servos","stepper systems","advanced metrology","robot cell experience","microcontroller tinkering","welding","machining","CNC","woodworking","framing","cabinet shop","lumber handling background","forklift or scissor/aerial lift certification"],"datePosted":"2026-10-25T07:08:52.428Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Northbrook, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"mechanic, millwright, maintenance tech, fabricator, machinist, metrology, GD&T, lockout/tagout, PPE, diagnostic instinct, clear communication, electrical work, pneumatics, hydraulics, VFDs, servos, stepper systems, advanced metrology, robot cell experience, microcontroller tinkering, welding, machining, CNC, woodworking, framing, cabinet shop, lumber handling background, forklift or scissor/aerial lift certification","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":60000,"maxValue":70000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3735738d-261"},"title":"Robot Learning Engineer","description":"<p><strong>Compensation</strong></p>\n<p>Estimated Base Salary $100K – $120K</p>\n<p><strong>Position Overview</strong></p>\n<p>As a Robot Learning Engineer, you will teach our robots to perform complex manipulation tasks from human demonstration. You will own the path from demonstration to deployed behavior: building the teleoperation systems that capture how skilled people do the work, turning that data into trained policies, and proving those policies on real robots with dexterous hands and custom tooling. You&#39;ll also shape how we learn from video of people doing the work itself. This role is hands-on, fast-moving, and measured by one thing: robots that reliably do the job.</p>\n<p><strong>What you&#39;ll work on</strong></p>\n<p><strong>Teleoperation &amp; Demonstration Data</strong></p>\n<ul>\n<li>Build and improve teleoperation pipelines using leader arms for bulk arm motion and VR hand tracking for fine, finger-level interaction</li>\n<li>Retarget human hand motion to a dexterous robot hand, developing in simulation first and validating on hardware</li>\n<li>Design data collection protocols so demonstrations are consistent, well-structured, and train well</li>\n<li>Define what data is worth collecting and how much, and guide technicians who run collection sessions</li>\n</ul>\n<p><strong>Policy Learning</strong></p>\n<ul>\n<li>Train and fine-tune manipulation policies using imitation learning and vision-language-action (VLA) models</li>\n<li>Choose policy architectures and action representations suited to multi-step, contact-rich tasks</li>\n<li>Combine teleoperation data with human demonstration video to improve policies</li>\n<li>Iterate quickly from data to trained policy to real-robot trial</li>\n</ul>\n<p><strong>Evaluation &amp; Deployment</strong></p>\n<ul>\n<li>Define and run evaluation protocols on real robots, measuring success rate per task step</li>\n<li>Diagnose failures across data, model, and hardware, and fix the right one</li>\n<li>Deploy policies on robots with ROS2-based control and optimize inference for real-time performance</li>\n<li>Work with integration engineers to run policies across a full task sequence</li>\n</ul>\n<p><strong>Data Pipeline &amp; Vendor Oversight</strong></p>\n<ul>\n<li>Define dataset formats and data quality standards for training</li>\n<li>Supervise external partners who build data pipeline infrastructure and label human demonstration video, and set specs and accept deliveries</li>\n<li>Prototype extraction of useful training signals from egocentric (head-mounted camera) video in-house before scaling it out</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<p><strong>Robot Learning</strong></p>\n<ul>\n<li>3+ years of hands-on experience in robot learning, ML for robotics, or closely related production ML</li>\n<li>Experience training policies from demonstrations on physical robots using imitation learning (e.g., ACT, Diffusion Policy, or similar)</li>\n<li>Experience collecting teleoperation or demonstration data for robot learning</li>\n<li>Strong PyTorch skills and experience running training, evaluation, and debugging end to end</li>\n<li>Track record of evaluating models in the real world and diagnosing failures</li>\n</ul>\n<p><strong>Robotics &amp; Software</strong></p>\n<ul>\n<li>Strong Python; working C++</li>\n<li>Experience with ROS or ROS2 and real robot hardware</li>\n<li>Understanding of manipulator kinematics and control fundamentals</li>\n<li>Proficiency with Linux, Docker, and Git</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>MS or PhD in Robotics, Machine Learning, Computer Science, or a related field</li>\n<li>Experience fine-tuning VLA or foundation models for robot control</li>\n<li>Experience with dexterous hands, VR hand tracking, or motion retargeting</li>\n<li>Experience building or using leader-follower teleoperation systems</li>\n<li>Experience learning from human video or egocentric data</li>\n<li>Experience building and maintaining large-scale robotics datasets</li>\n<li>Robotics simulation experience with MuJoCo, Isaac Sim, or similar</li>\n<li>Experience with robot learning datasets and tooling (e.g., LeRobot, rosbag, MCAP)</li>\n<li>Experience managing data vendors or labeling workflows</li>\n<li>Background in manufacturing, industrial automation, or construction technology</li>\n</ul>\n<p><strong>Why Join LightSpeed</strong></p>\n<ul>\n<li>Teach real robots to do skilled work that addresses the housing crisis</li>\n<li>Own the full loop from human demonstration to deployed robot behavior</li>\n<li>Work with dexterous hands, custom tooling, and human demonstration data at scale</li>\n<li>Hands-on culture with direct access to robots, sensors, and manufacturing environments</li>\n<li>Competitive compensation and comprehensive benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3735738d-261/","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LightSpeed Build Technologies","sameAs":"https://lightspeed.com","logo":"https://logos.yubhub.co/lightspeed.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/lightspeed/6115c0d7-1bf7-4fc1-98ea-6f97f65fa87c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$100K - $120K","x-skills-required":["robot learning","ML for robotics","PyTorch","ROS or ROS2","Python","C++","Linux","Docker","Git"],"x-skills-preferred":["MS or PhD in Robotics","Machine Learning","Computer Science","fine-tuning VLA or foundation models","dexterous hands","VR hand tracking","motion retargeting","leader-follower teleoperation systems","learning from human video","egocentric data","large-scale robotics datasets","robotics simulation","MuJoCo","Isaac Sim","robot learning datasets","tooling","data vendors","labeling workflows","manufacturing","industrial automation","construction technology"],"datePosted":"2026-10-25T05:22:23.229Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Northbrook, IL"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"robot learning, ML for robotics, PyTorch, ROS or ROS2, Python, C++, Linux, Docker, Git, MS or PhD in Robotics, Machine Learning, Computer Science, fine-tuning VLA or foundation models, dexterous hands, VR hand tracking, motion retargeting, leader-follower teleoperation systems, learning from human video, egocentric data, large-scale robotics datasets, robotics simulation, MuJoCo, Isaac Sim, robot learning datasets, tooling, data vendors, labeling workflows, manufacturing, industrial automation, construction technology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_48df6781-e3a"},"title":"Perception Engineer","description":"<p>As a Perception Engineer, you will own how LightSpeed&#39;s robots see. You will design, calibrate, and deploy the multi-camera systems on our robot cells and end-of-arm tooling, and build the perception that guides manipulation in real time.</p>\n<p><strong>Camera &amp; Sensor Systems</strong></p>\n<ul>\n<li>Select, specify, and deploy multi-camera systems (RGB, stereo, depth) for robot cells, including wrist- and tool-mounted cameras on end-of-arm tooling and dexterous hands</li>\n<li>Own intrinsic, extrinsic, and hand-eye calibration, and keep calibration reliable across tool changes and daily operation</li>\n<li>Synchronize cameras with robot state and teleoperation streams</li>\n<li>Work with mechanical engineers on camera placement for coverage, occlusion, and lighting</li>\n</ul>\n<p><strong>Perception Development</strong></p>\n<ul>\n<li>Estimate and track robot and end-effector pose using vision systems to verify kinematics and identify drift</li>\n<li>Compare 3D scans against CAD or BIM models to check part placement and as-built accuracy</li>\n<li>Localize robots and tools in the workspace using fiducials (AprilTag or ChArUco) and multi-view fusion</li>\n<li>Build object detection, segmentation, and 6-DoF pose estimation for parts, fasteners, and tools in cluttered, confined, and poorly lit workspaces</li>\n<li>Build point cloud pipelines (filtering, segmentation, registration such as ICP, and meshing) for manipulation and scene understanding</li>\n<li>Track hands and objects in egocentric video of human demonstrations</li>\n<li>Build CUDA-optimized perception pipelines: GPU preprocessing, custom CUDA kernels where needed, TensorRT inference, and minimal host–device copies</li>\n<li>Profile and optimize end-to-end latency, from photon to action, using tools like Nsight Systems</li>\n</ul>\n<p><strong>Data &amp; Robot Learning Support</strong></p>\n<ul>\n<li>Deliver calibrated, time-synchronized camera data in the formats our teleoperation recording and training pipelines consume</li>\n<li>Partner with AI/ML engineers to define observation spaces for imitation learning and vision-language-action policies</li>\n<li>Set perception accuracy targets tied to task success, and build benchmarks to measure them</li>\n</ul>\n<p><strong>Integration &amp; Deployment</strong></p>\n<ul>\n<li>Integrate perception with ROS2-based robot control</li>\n<li>Harden systems for real-world conditions: lighting changes, reflective surfaces, occlusion, and vibration</li>\n<li>Collaborate closely with robotics, mechanical, and controls engineers</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>3+ years building and deploying perception systems on physical robots or real-time systems</li>\n<li>Hands-on experience calibrating multi-camera systems (intrinsic, extrinsic, hand-eye) and synchronizing sensors</li>\n<li>Experience with RGB-D and stereo cameras in real deployments</li>\n<li>Strong computer vision fundamentals: camera geometry, multi-view geometry, and 3D reconstruction</li>\n<li>Deep learning experience with detection, segmentation, or pose estimation using PyTorch</li>\n<li>Strong Python and C++</li>\n<li>Experience with OpenCV and point cloud libraries such as Open3D or PCL</li>\n<li>Experience with ROS or ROS2</li>\n<li>Proficiency with Linux, Docker, Git, and CI/CD workflows</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>MS or PhD in Computer Vision, Robotics, Computer Science, or a related field</li>\n<li>Perception for robotic manipulation, especially dexterous or tool-based manipulation</li>\n<li>Experience with hardware video encoding (NVENC, Jetson Multimedia API), GStreamer, or WebRTC</li>\n<li>Experience with NVIDIA Isaac ROS / NITROS, VPI, or CV-CUDA</li>\n<li>Experience with point cloud registration and scan-to-CAD/BIM comparison</li>\n<li>Experience with vision foundation models (for example SAM, DINOv2, FoundationPose)</li>\n<li>Experience with egocentric video or hand pose estimation</li>\n<li>Experience producing sensor data for robot learning datasets (e.g., rosbag or MCAP)</li>\n<li>Edge deployment on NVIDIA Jetson with TensorRT</li>\n<li>Simulation and synthetic data generation with Isaac Sim, MuJoCo, or similar</li>\n<li>Background in manufacturing, industrial automation, or construction technology</li>\n</ul>\n<p><strong>Why Join LightSpeed</strong></p>\n<ul>\n<li>Build the eyes of robots that are addressing the housing crisis</li>\n<li>Own the full perception stack, from sensor selection to deployed models</li>\n<li>Work on rare real-world challenges: confined-space manipulation, dexterous hands, learning from human demonstration</li>\n<li>Hands-on culture with direct access to robots, sensors, and manufacturing environments</li>\n<li>Competitive compensation and comprehensive benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_48df6781-e3a/","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LightSpeed Build Technologies","sameAs":"https://lightspeed.com","logo":"https://logos.yubhub.co/lightspeed.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/lightspeed/76140b3b-034f-4aab-8d9b-e304c1e138d3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$100K - $120K","x-skills-required":["Python","C++","OpenCV","PyTorch","ROS2","Computer Vision","3D Reconstruction","Deep Learning","Multi-camera systems","Sensor synchronization","CUDA optimization"],"x-skills-preferred":["MS or PhD in Computer Vision, Robotics, Computer Science","Perception for robotic manipulation","Hardware video encoding","NVIDIA Isaac ROS / NITROS","Point cloud registration","Vision foundation models","Egocentric video","Hand pose 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