Perception Engineer

LightSpeed 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.

As 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.

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

Own intrinsic, extrinsic, and hand-eye calibration, and keep calibration reliable across tool changes and daily operation

Synchronize cameras with robot state and teleoperation streams

Work with mechanical engineers on camera placement for coverage, occlusion, and lighting

Estimate and track robot and end-effector pose using vision systems to verify kinematics and identify drift

Compare 3D scans against CAD or BIM models to check part placement and as-built accuracy

Localize robots and tools in the workspace using fiducials (AprilTag or ChArUco) and multi-view fusion

Build object detection, segmentation, and 6-DoF pose estimation for parts, fasteners, and tools in cluttered, confined, and poorly lit workspaces

Build point cloud pipelines (filtering, segmentation, registration such as ICP, and meshing) for manipulation and scene understanding

Track hands and objects in egocentric video of human demonstrations

Build CUDA-optimized perception pipelines: GPU preprocessing, custom CUDA kernels where needed, TensorRT inference, and minimal host–device copies

Profile and optimize end-to-end latency, from photon to action, using tools like Nsight Systems

Deliver calibrated, time-synchronized camera data in the formats our teleoperation recording and training pipelines consume

Partner with AI/ML engineers to define observation spaces for imitation learning and vision-language-action policies

Set perception accuracy targets tied to task success, and build benchmarks to measure them

Integrate perception with ROS2-based robot control

Harden systems for real-world conditions: lighting changes, reflective surfaces, occlusion, and vibration

Collaborate closely with robotics, mechanical, and controls engineers

3+ years building and deploying perception systems on physical robots or real-time systems

Hands-on experience calibrating multi-camera systems (intrinsic, extrinsic, hand-eye) and synchronizing sensors

Experience with RGB-D and stereo cameras in real deployments

Strong computer vision fundamentals: camera geometry, multi-view geometry, and 3D reconstruction

Deep learning experience with detection, segmentation, or pose estimation using PyTorch

Strong Python and C++

Experience with OpenCV and point cloud libraries such as Open3D or PCL

Experience with ROS or ROS2

Proficiency with Linux, Docker, Git, and CI/CD workflows

Build the eyes of robots that are addressing the housing crisis

Own the full perception stack, from sensor selection to deployed models

Work on rare real-world challenges: confined-space manipulation, dexterous hands, learning from human demonstration

Hands-on culture with direct access to robots, sensors, and manufacturing environments

Competitive compensation and comprehensive benefits

This position is at-will, meaning either you or the Company may terminate employment at any time, with or without cause or notice.

LightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.