{"id":1722861,"url":"https://alion.io/job/lightspeed-technologies-perception-engineer","title":"Perception Engineer","company":{"id":254361,"name":"Lightspeed Technologies","domain":"lightspeed.com.sg","url":"https://alion.io/company/lightspeed-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Northbrook, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Linux","optional":false},{"name":"Localization","optional":false},{"name":"Open3D","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Teleoperation","optional":false},{"name":"TensorRT","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"DINOv2","optional":true},{"name":"GStreamer","optional":true},{"name":"Isaac Sim","optional":true},{"name":"MuJoCo","optional":true},{"name":"Synthetic Data","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-10-02T18:15:52Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-04T23:07:23Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About LightSpeed\nLightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systems-BRUTE for automated wall panel manufacturing and DEX for on-site collaborative construction-are addressing the global housing crisis by delivering unprecedented speed, precision, and affordability in homebuilding.\nPosition Overview\nAs a Perception Engineer, you will own how LightSpeed'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. Your camera streams also feed our teleoperation and robot learning pipelines, so the quality of what you build directly shapes how well our robots learn. This role sits at the intersection of sensor hardware, 3D vision, and deep learning, all deployed on physical robots where reliability matters.\nWhat you'll work on\nCamera & Sensor Systems\nSelect, 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\n\nOwn intrinsic, extrinsic, and hand-eye calibration, and keep calibration reliable across tool changes and daily operation\n\nSynchronize cameras with robot state and teleoperation streams\n\nWork with mechanical engineers on camera placement for coverage, occlusion, and lighting\n\nPerception Development\nEstimate and track robot and end-effector pose using vision systems to verify kinematics and identify drift\n\nCompare 3D scans against CAD or BIM models to check part placement and as-built accuracy\n\nLocalize robots and tools in the workspace using fiducials (AprilTag or ChArUco) and multi-view fusion\n\nBuild object detection, segmentation, and 6-DoF pose estimation for parts, fasteners, and tools in cluttered, confined, and poorly lit workspaces\n\nBuild point cloud pipelines (filtering, segmentation, registration such as ICP, and meshing) for manipulation and scene understanding\n\nTrack hands and objects in egocentric video of human demonstrations\n\nBuild CUDA-optimized perception pipelines: GPU preprocessing, custom CUDA kernels where needed, TensorRT inference, and minimal host-device copies\n\nProfile and optimize end-to-end latency, from photon to action, using tools like Nsight Systems\n\nData & Robot Learning Support\nDeliver calibrated, time-synchronized camera data in the formats our teleoperation recording and training pipelines consume\n\nPartner with AI/ML engineers to define observation spaces for imitation learning and vision-language-action policies\n\nSet perception accuracy targets tied to task success, and build benchmarks to measure them\n\nIntegration & Deployment\nIntegrate perception with ROS2-based robot control\n\nHarden systems for real-world conditions: lighting changes, reflective surfaces, occlusion, and vibration\n\nCollaborate closely with robotics, mechanical, and controls engineers\n\nRequired Qualifications\nPerception Expertise\n3+ years building and deploying perception systems on physical robots or real-time systems\n\nHands-on experience calibrating multi-camera systems (intrinsic, extrinsic, hand-eye) and synchronizing sensors\n\nExperience with RGB-D and stereo cameras in real deployments\n\nStrong computer vision fundamentals: camera geometry, multi-view geometry, and 3D reconstruction\n\nDeep learning experience with detection, segmentation, or pose estimation using PyTorch\n\nSoftware Engineering\nStrong Python and C++\n\nExperience with OpenCV and point cloud libraries such as Open3D or PCL\n\nExperience with ROS or ROS2\n\nProficiency with Linux, Docker, Git, and CI/CD workflows\n\nPreferred Qualifications\nMS or PhD in Computer Vision, Robotics, Computer Science, or a related field\n\nPerception for robotic manipulation, especially dexterous or tool-based manipulation\n\nExperience with hardware video encoding (NVENC, Jetson Multimedia API), GStreamer, or WebRTC\n\nExperience with NVIDIA Isaac ROS / NITROS, VPI, or CV-CUDA\n\nExperience with point cloud registration and scan-to-CAD/BIM comparison\n\nExperience with vision foundation models (for example SAM, DINOv2, FoundationPose)\n\nExperience with egocentric video or hand pose estimation\n\nExperience producing sensor data for robot learning datasets (e.g., rosbag or MCAP)\n\nEdge deployment on NVIDIA Jetson with TensorRT\n\nSimulation and synthetic data generation with Isaac Sim, MuJoCo, or similar\n\nBackground in manufacturing, industrial automation, or construction technology\n\nWhy Join LightSpeed\nBuild the eyes of robots that are addressing the housing crisis\n\nOwn the full perception stack, from sensor selection to deployed models\n\nWork on rare real-world challenges: confined-space manipulation, dexterous hands, learning from human demonstration\n\nHands-on culture with direct access to robots, sensors, and manufacturing environments\n\nCompetitive compensation and comprehensive benefits\n\nEmployment Relationship\nThis position is at-will, meaning either you or the Company may terminate employment at any time, with or without cause or notice.\nEqual Opportunity\nLightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.","description_format":"text","description_chars":5264,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-02T21:12:49Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":120000,"is_top_pay":false},"html_url":"https://alion.io/job/lightspeed-technologies-perception-engineer","json_url":"https://alion.io/job/lightspeed-technologies-perception-engineer.json","meta":{"generated_at":"2026-10-05T00:46:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":935,"day_limit":5000,"remaining_today":4065,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}