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You will build the data pipeline that captures how people do the work, the policies that learn from it, and the executor that runs every action on the robot, classical or learned, behind one interface.</p>\n<p>Our robots do contact-rich, high-variance work: taping seams, routing cable, finishing drywall, setting fixtures. Your systems decide whether a new trade takes days or weeks to teach, and whether it runs reliably once it does.</p>\n<h4>Responsibilities</h4>\n<h5>Data and Teleoperation</h5>\n<ul>\n<li>Define how we capture demonstrations: teleoperation rigs (leader arms, VR) and egocentric capture of people doing the work</li>\n<li>Own the data pipeline: synchronized observations and actions, episode labelling, dataset versioning and quality checks</li>\n<li>Decide what data each new task needs, and how failures are labelled and fed back</li>\n<li>Partner with the world sensing principal on observation spaces and sensor streams</li>\n</ul>\n<h5>Policies and Training</h5>\n<ul>\n<li>Set the policy architecture: a shared vision and force backbone with task-conditioned heads, so a new skill needs a few demonstrations, not a new model</li>\n<li>Train with imitation learning, diffusion or transformer policies and vision-language-action models; use reinforcement learning where the reward can be clearly defined</li>\n<li>Build the training and evaluation loop, in simulation and on real robots, with held-out evaluations that gate deployment</li>\n<li>Solve manipulation of deformable materials: cable, tape, membrane</li>\n<li>Set coverage and first-pass yield targets per skill, and measure against them</li>\n</ul>\n<h5>Execution and Control</h5>\n<ul>\n<li>Own the actuate executor: classical control and learned policies behind one contract, so the planner can choose either for each step</li>\n<li>Build the compliance layer for contact-rich work: nailing, pressing, taping, mudding, insertion, with force and impedance control</li>\n<li>Build recovery behaviours for the common failures of each primitive</li>\n<li>Deploy policies on the robot within real-time and safety limits</li>\n<li>Define what each tool must sense and report, so its actions can be learned from and controlled</li>\n</ul>\n<h5>Foundation and Skill Pipeline</h5>\n<ul>\n<li>Co-own the foundation interfaces with the world sensing and agentic planning principals, and own the data and evaluation interface</li>\n<li>For each new trade: collect demonstrations, train and evaluate the policy, add recovery</li>\n<li>Drive down the time it takes to teach a new trade</li>\n</ul>\n<h5>Technical Leadership</h5>\n<ul>\n<li>Set robot learning and control architecture across both robot families</li>\n<li>Lead and mentor learning and manipulation engineers</li>\n<li>Make the system something engineers can teach new trades with, without you in the loop</li>\n<li>Stay hands-on: write production code and test on real robots every week</li>\n</ul>\n<h4>Requirements</h4>\n<h5>Robot Learning and Control</h5>\n<ul>\n<li>5+ years in robotics or machine learning, including learned manipulation policies deployed on real hardware</li>\n<li>Deep experience with imitation learning and reinforcement learning, and with when to use each</li>\n<li>Force and impedance control for contact-rich manipulation</li>\n<li>Built a data pipeline for robot learning: teleoperation capture, labelling, versioning and evaluation</li>\n<li>Deep learning in PyTorch, from dataset to deployed policy</li>\n</ul>\n<h5>Engineering and Leadership</h5>\n<ul>\n<li>Strong Python and C++</li>\n<li>Experience with ROS2, Linux, Docker and CI/CD workflows</li>\n<li>A record of setting technical direction across teams and mentoring engineers</li>\n</ul>\n<h4>Benefits</h4>\n<ul>\n<li>Competitive compensation and comprehensive benefits</li>\n</ul>","enriched_at":1793477507686},{"id":"job_a2ea8ff9-848","title":"Senior Agentic Planning Engineer","source_url":"https://jobs.ashbyhq.com/lightspeed/9b63d66b-9a57-4e98-a48c-b2551a318a89","location":"Northbrook, Illinois","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>As Senior Agentic Planning Engineer, you will own how LightSpeed&#39;s robots decide what to do next. Every robot action is one of two primitives, move or actuate. You will build the planner that reasons over a goal, sequences those primitives, chooses classical control or a learned policy for each step, and recovers when a step fails.</p>\n<p>Responsibilities:</p>\n<h4>Primitives and Contracts</h4>\n<ul>\n<li>Define primitives and their contract: inputs, preconditions, success checks and failure codes</li>\n<li>Define the interface between the planner and the executor: step request, choice of classical or policy, result and evidence</li>\n<li>Keep the primitive library callable by the planner, not wired by hand for each task</li>\n</ul>\n<h4>Planning and Reasoning</h4>\n<ul>\n<li>Build the task graph from BIM: the elements in front of the robot and the dependencies between them</li>\n<li>Build the planner in two layers: a reasoning layer for open-ended decisions, and solvers for reach, collision and trajectory</li>\n<li>Decide when to use a reasoning model and when not to; keep it off the real-time control path</li>\n<li>Set the rule for choosing classical control or a learned policy for each step, based on world-model confidence and how structured the step is</li>\n<li>Extend the planner&#39;s reasoning and sequencing for each new trade</li>\n<li>Measure success by how fast a new trade can be taught</li>\n</ul>\n<h4>Execution and Recovery</h4>\n<ul>\n<li>Build the execution monitor: verify each step, then retry, switch executor, skip and flag, or escalate to a person</li>\n<li>Log every decision with its reason and evidence, so any outcome can be explained</li>\n<li>Keep the planner inside guardrails: a constrained action space, declared parameter ranges, and safety that is never the planner&#39;s to decide</li>\n<li>Build the operator view for escalations and remote assistance</li>\n</ul>\n<h4>Multi-Robot Readiness</h4>\n<ul>\n<li>Design the planner so two robots can share one world model and divide work: one holds, one fastens; one supplies, one installs</li>\n</ul>\n<h4>Foundation and Skill Pipeline</h4>\n<ul>\n<li>Co-own the foundation interfaces with the world sensing and robot learning principals, and own the primitive contract</li>\n<li>Run the new stack alongside production on our existing robots, switchable per job, so it is tested on real work from the start</li>\n<li>Prove the system by running whole tasks end to end on real robots, with recovery</li>\n</ul>\n<h4>Technical Leadership</h4>\n<ul>\n<li>Set planning and autonomy architecture across both robot families</li>\n<li>Mentor autonomy and motion planning engineers</li>\n<li>Make the system something engineers can teach new trades with, without you in the loop</li>\n<li>Stay hands-on: write production code and test on real robots every week</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years building autonomy, task planning or decision-making systems for robots or autonomous vehicles, with systems deployed in production</li>\n<li>Task-level planning on real robots: behavior trees, task and motion planning (TAMP), HTN or similar</li>\n<li>Execution monitoring and fault recovery in a deployed system</li>\n<li>Built interfaces between planning, perception and control that other teams built against</li>\n<li>Hands-on with reasoning models or LLMs in a decision loop, and a clear view of where they help and where they don&#39;t</li>\n<li>Strong Python and C++</li>\n<li>Experience with ROS2, Linux, Docker and CI/CD workflows</li>\n<li>A record of setting technical direction across teams and mentoring senior engineers</li>\n</ul>","enriched_at":1793477484562},{"id":"job_8eae2958-10a","title":"Senior World Sensing Engineer","source_url":"https://jobs.ashbyhq.com/lightspeed/ccaf9f37-b0c3-4b87-8a89-89160ad98c6a","location":"Northbrook, Illinois","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>As Senior World Sensing Engineer, you will own how LightSpeed&#39;s robots sense and understand the world. You will architect the sensor array on every robot, from cameras and lidar to force-torque and process sensors, and the pipeline that turns those signals into one trusted world model: where everything really is, what state it is in, and how sure we are.</p>\n<p><strong>Sensor Array and Pipeline</strong></p>\n<ul>\n<li>Define the sensor suite for every robot family across factory cells, mobile DEX and roof configurations, and upgrade it when a trade needs a signal we don&#39;t yet sense:</li>\n<li>Vision: wrist RGB-D and stereo for close-range manipulation, cell and head cameras for scene coverage, global-shutter cameras for fast motion</li>\n<li>Lidar: 3D lidar for mapping, localization and site safety on mobile robots</li>\n<li>Contact: 6-axis force-torque at each wrist, tactile sensing on grippers and hands</li>\n<li>Proprioception: joint encoders, motor current and IMU on arms, bases and the gantry</li>\n<li>Tool and process: laser line profilers and time-of-flight for surface, gap and depth; tool state, flow and pressure for nailers, pumps and spray</li>\n<li>Site and safety: safety-rated area scanners, and site positioning such as a total station or UWB where lidar alone isn&#39;t enough</li>\n<li>Own sensor selection, position and orientation on every robot, for coverage, occlusion and changing light; the application team handles mounting and protection against dust and overspray</li>\n<li>Own time synchronization across every sensor, robot state and teleoperation stream</li>\n<li>Own the calibration strategy (intrinsic, extrinsic, hand-eye, camera-lidar) and keep it reliable through tool changes and daily operation</li>\n<li>Build the sensor data pipeline: capture, streaming, compression and logging at rate, delivered to the world model, teleoperation and robot learning</li>\n<li>Monitor sensor health and detect drift before it affects a task</li>\n</ul>\n<p><strong>World Model</strong></p>\n<ul>\n<li>Design the world model: an element graph keyed to BIM, poses with uncertainty, and the state of every element (planned, placed, fastened, verified, failed)</li>\n<li>Register the BIM to the as-built, to tool tolerance, for panels in the factory and for rooms on site</li>\n<li>Build sensor fusion and localization so mobile robots know where they are relative to the building, not just a map</li>\n<li>Keep element state current from perception and from the verification results of every primitive</li>\n<li>Own the world-model interface that the planner, primitives and teaching pipeline use, designed so more than one robot can share it</li>\n</ul>\n<p><strong>Perception</strong></p>\n<ul>\n<li>Set the direction for a generalized perception model: one shared model for geometry and categories that learns new features from a few examples</li>\n<li>Build measurement for material state: cable and tape position, mud and surface flatness, foam depth, fastener seating</li>\n<li>Build object detection, segmentation and 6-DoF pose estimation for parts, tools and fasteners in cluttered, confined and poorly lit spaces</li>\n<li>Set accuracy targets tied to task success, and build the benchmarks that measure them</li>\n<li>Deploy perception at the edge within a defined latency budget</li>\n</ul>\n<p><strong>Foundation and Skill Pipeline</strong></p>\n<ul>\n<li>Co-own the foundation interfaces with the robot learning and agentic planning principals, and own the world-model interface</li>\n<li>Add the features and sensing each new trade needs as it moves through the skill pipeline</li>\n<li>Measure success by how fast a new trade can be taught</li>\n<li>Decide with the robot learning principal what data is collected and how failures are labelled</li>\n</ul>\n<p><strong>Technical Leadership</strong></p>\n<ul>\n<li>Set sensing and perception architecture across both robot families</li>\n<li>Mentor perception and sensing engineers</li>\n<li>Make the system something engineers can teach new trades with, without you in the loop</li>\n<li>Stay hands-on: write production code and test on real robots every week</li>\n</ul>","enriched_at":1793477465135},{"id":"job_8c378d33-e99","title":"Residential Design & Estimating Specialist","source_url":"https://jobs.ashbyhq.com/lightspeed/04b0c0af-3fdd-420d-b40a-d6b539c62c69","location":"Northbrook, Illinois","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Design","description":"<p>We are seeking a Residential Design &amp; Estimating Specialist to join our team. As a key member of our Operations department, you will own residential designs in Revit from plan set to production-ready model, and produce the first price on every project.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Reviewing incoming plan sets from customers and architecture partners, and flagging what is missing, unclear or conflicting before it reaches the factory</li>\n<li>Taking designs from rough layouts through review cycles to approved, construction-ready plans, with renderings when necessary</li>\n<li>Building and maintaining a library of standard plan sets and Revit templates that new projects can start from</li>\n<li>Building and fixing construction-ready Revit models: architectural, wood structural framing to IRC prescriptive requirements, and MEP rough-in</li>\n<li>Producing quantity takeoffs and bills of materials straight from the model</li>\n<li>Building initial project estimates using our robotic-construction cost model and industry cost data</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years modeling residential buildings in Revit to construction-document level</li>\n<li>Hands-on experience producing quantity takeoffs, bills of materials or construction estimates from drawings or models</li>\n<li>Strong practical knowledge of US wood-frame construction and working familiarity with IRC and NEC</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and comprehensive benefits</li>\n</ul>\n<p>We offer a chance to see your models become real homes, built by robots in our own factory, and to own a seat that sits at the center of design, pricing and production.</p>","enriched_at":1793477442795},{"id":"job_529a674b-e93","title":"Mechanical Engineer","source_url":"https://jobs.ashbyhq.com/lightspeed/b140e311-40be-4391-b3fe-3701555ba2b4","location":"Northbrook, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<h3>Compensation</h3>\n<p>Estimated Base Salary $80K – $100K</p>\n<h3>Position Overview</h3>\n<p>As a Mechanical Engineer, you will create the mechanical designs, CAD models, and engineering documentation that bring LightSpeed’s robotic systems from concept to production reality. You will work at the intersection of industrial design, mechanical engineering, and manufacturing, producing detailed assemblies, fabrication drawings, and design packages for our BRUTE and DEX robotic platforms, custom end effectors, fixtures, and automated manufacturing equipment.</p>\n<h3>Key Responsibilities</h3>\n<h4>EOAT &amp; Robotic Hand Development</h4>\n<ul>\n<li>Define mechanical interface specs for end-of-arm tooling, including robot mounting, tool changers, cable and hose routing, and sensor and camera mounts</li>\n<li>Build fast mock-ups to check fit, reach, clearance, and camera placement before detailed design</li>\n<li>Take EOAT designs from mock-up to frozen detailed design, then through build, assembly, and bench testing</li>\n<li>Support procurement and bench bring-up of a third-party dexterous robotic hand, including mounting, mechanical integration, and protection for real-world use</li>\n<li>Design rigid, repeatable camera and sensor mounts in partnership with the perception engineer</li>\n<li>Design and refine hardware for the teleoperation rig</li>\n<li>Write bench test plans, record results, and iterate quickly based on what the hardware shows</li>\n<li>Design tooling for maintainability and fast swaps of wear parts</li>\n</ul>\n<h4>CAD Design &amp; Modeling</h4>\n<ul>\n<li>Create detailed 3D CAD models and assemblies for robotic systems and manufacturing equipment in Onshape</li>\n<li>Develop parametric models enabling rapid iteration for different deployment configurations</li>\n<li>Produce production-ready engineering drawings with complete GD&amp;T, tolerances, and material specs</li>\n<li>Design custom end effectors, grippers, fixtures, and tooling for automated construction tasks</li>\n<li>Maintain organized CAD libraries, part numbering systems, and revision control</li>\n</ul>\n<h4>Design for Manufacturing</h4>\n<ul>\n<li>Design components optimized for CNC machining, sheet metal fabrication, welding, and 3D printing</li>\n<li>Develop BOMs, assembly instructions, and manufacturing documentation packages</li>\n<li>Collaborate with machinists, fabricators, and contract manufacturers on feasibility and cost</li>\n<li>Support CAD-to-CAM workflows for in-house and outsourced fabrication</li>\n</ul>\n<h4>Engineering Analysis &amp; Validation</h4>\n<ul>\n<li>Perform FEA and structural analysis to validate designs under operational loads</li>\n<li>Conduct tolerance stack-up analysis for precision mechanical assemblies</li>\n<li>Support physical prototype testing and iterate based on real-world performance</li>\n<li>Research and specify materials, fasteners, bearings, linear guides, and commercial components</li>\n</ul>\n<h4>BIM &amp; Construction Integration</h4>\n<ul>\n<li>Work with BIM models and construction drawings to understand panel designs and building requirements</li>\n<li>Translate construction specifications into mechanical design requirements for robotic systems</li>\n<li>Support integration between CAD workflows and BIM-to-manufacturing data pipelines</li>\n</ul>\n<h4>Creative Problem Solving</h4>\n<ul>\n<li>Challenge conventional approaches by questioning requirements and assumptions</li>\n<li>Generate unconventional concepts for mechanisms, end effectors, and system architectures</li>\n<li>Rapidly prototype and test bold ideas</li>\n<li>Provide early-stage design input to cross-functional teams on feasibility, alternatives, and trade-offs</li>\n<li>Contribute fresh ideas and alternative approaches during design reviews</li>\n<li>Stay current on robotics, automation, and construction-tech trends</li>\n</ul>\n<h3>Required Qualifications</h3>\n<h4>CAD &amp; Design Skills</h4>\n<ul>\n<li>3+ years professional mechanical design using parametric CAD tools</li>\n<li>Advanced proficiency in Onshape, or deep expertise in SolidWorks, Fusion 360, or Inventor</li>\n<li>Strong understanding of GD&amp;T and engineering drawing standards</li>\n<li>Experience producing complete manufacturing documentation</li>\n<li>Portfolio demonstrating design for manufacturability and engineering judgment</li>\n</ul>\n<h4>Manufacturing Knowledge</h4>\n<ul>\n<li>Hands-on understanding of CNC machining, sheet metal, welding, and 3D printing</li>\n<li>Experience specifying materials and commercial hardware for assemblies</li>\n<li>Understanding of tolerance analysis and fit systems for precision assemblies</li>\n<li>Familiarity with rapid prototyping and iterative design processes</li>\n</ul>\n<h4>Robotics Hardware Experience</h4>\n<ul>\n<li>Experience designing end effectors, grippers, or tooling for industrial or collaborative robot arms</li>\n<li>Hands-on experience building, assembling, and bench testing electromechanical assemblies</li>\n<li>Ability to hit fixed hardware milestones</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Degree in Mechanical Engineering, Industrial Design Engineering, or related field</li>\n<li>Experience designing robotic systems, automated equipment, or industrial machinery</li>\n<li>Experience integrating third-party robotic hands, grippers, actuators, or tool changers</li>\n<li>Experience mounting cameras and sensors for robotic vision systems</li>\n<li>Familiarity with robot tool flange standards and quick-change tooling</li>\n<li>Exposure to teleoperation systems or data collection for robot learning</li>\n<li>Experience designing tooling for tight, hard-to-reach work spaces</li>\n<li>Background in construction, prefabrication, or building component design</li>\n<li>FEA experience with SolidWorks Simulation, ANSYS, or equivalent</li>\n<li>Experience with sheet metal design and weldment features in CAD</li>\n<li>Familiarity with BIM software and construction documentation</li>\n<li>Startup or fast-paced product development environment experience</li>\n<li>Experience across multiple industries</li>\n</ul>\n<h3>Why Join LightSpeed</h3>\n<ul>\n<li>See your designs become physical robots that build homes and address the housing crisis</li>\n<li>Full access to machine shop, prototyping equipment, and cutting-edge CAD/CAM tools</li>\n<li>Hands-on engineering culture where designers build, test, and iterate alongside the team</li>\n<li>Room to pitch and test bold ideas in a hands-on environment</li>\n<li>Competitive compensation and comprehensive benefits</li>\n</ul>","enriched_at":1793131285522},{"id":"job_4c15a709-175","title":"Robotics Technician","source_url":"https://jobs.ashbyhq.com/lightspeed/1e377fcb-7ef8-4182-9727-a85e51ff719e","location":"Northbrook, IL","job_type":"full-time","experience_level":null,"work_arrangement":"onsite","category":"Engineering","description":"<h3>Compensation</h3>\n<p>Estimated Base Salary $60K – $70K</p>\n<h3>Position Overview</h3>\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<h3>Responsibilities</h3>\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<h3>Required Qualifications</h3>\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<h3>Preferred Qualifications</h3>\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<h3>Working Conditions</h3>\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<h3>Why Join LightSpeed</h3>\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>","enriched_at":1792912132428},{"id":"job_3735738d-261","title":"Robot Learning Engineer","source_url":"https://jobs.ashbyhq.com/lightspeed/6115c0d7-1bf7-4fc1-98ea-6f97f65fa87c","location":"Northbrook, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<h3>Compensation</h3>\n<p>Estimated Base Salary $100K – $120K</p>\n<h3>Position Overview</h3>\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<h3>What you&#39;ll work on</h3>\n<h4>Teleoperation &amp; Demonstration Data</h4>\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<h4>Policy Learning</h4>\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<h4>Evaluation &amp; Deployment</h4>\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<h4>Data Pipeline &amp; Vendor Oversight</h4>\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<h3>Required Qualifications</h3>\n<h4>Robot Learning</h4>\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<h4>Robotics &amp; Software</h4>\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<h3>Preferred Qualifications</h3>\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<h3>Why Join LightSpeed</h3>\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>","enriched_at":1792905743229},{"id":"job_48df6781-e3a","title":"Perception Engineer","source_url":"https://jobs.ashbyhq.com/lightspeed/76140b3b-034f-4aab-8d9b-e304c1e138d3","location":"Northbrook, IL","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","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>","enriched_at":1792889218479}],"category_normalised":[{"category":"engineering","count":7},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":3},{"week_start":"2026-10-26","count":5}],"trend":"stable","wow_pct":67},"momentum":{"recent_14d":8,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":100000,"industry_median":null,"percentile":null,"sample_size":4,"by_region":[{"region":"United States","company_median":100000,"industry_median":null,"sample":4}],"transparency_pct":50,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":8,"industry_total":8,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.037,"skill_weighted_score":0,"top_exposed_titles":[],"top_exposed_skills":[]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":4,"share_pct":50},{"region":"Unknown","count":4,"share_pct":50}],"emerging":[{"region":"United States","recent_30d":4,"prior_30d":0,"growth_pct":100},{"region":"Unknown","recent_30d":4,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":11}}}}