Computer Vision Engineer

Our client is transforming the $3 trillion infrastructure construction industry through cutting-edge robotics and autonomous navigation. With over 100 robots already deployed globally, their mission is to automate repetitive, labor-intensive tasks and bridge the workforce gap in construction, solar installation, surveying, and more.Now’s your chance to be part of a fast-growing team that’s redefining how construction gets done smarter, faster, and more accurately.The RoleWe're hiring a Senior Computer Vision Engineer to lead the development of advanced vision systems for autonomous ground robots. You’ll focus on sensor calibration, point cloud processing, terrain analysis, and navigation—playing a key role in enabling real-time perception and decision-making on complex construction sites.ResponsibilitiesDevelop and optimize vision algorithms for calibrating cameras, LiDAR, and IMUsFuse sensor data and process point clouds for real-time environment mappingConduct terrain analysis for obstacle detection and navigationDesign algorithms for object detection, segmentation, and trackingBuild and maintain real-time vision pipelines for deployment on autonomous platformsCollaborate cross-functionally to integrate vision systems into robotic workflowsDocument methods, experiments, and outcomesRequirementsMaster’s degree in Computer Science, Electrical Engineering, Robotics, or related field7+ years of experience in computer vision or image processing, ideally in autonomous systemsProficiency in C++ and PythonStrong knowledge of point cloud processing, sensor calibration, and tools like OpenCV and PCLUnderstanding of machine learning models for perception tasksFamiliarity with tools like Git, JIRA, and vision system debuggersExcellent problem-solving and communication skillsBonus Points ForExperience with terrain segmentation and environmental modelingFamiliarity with ROS and real-time robotic systemsBackground in SLAM and deploying on edge computing hardwareJoin a robotics team that’s changing the face of infrastructure construction. Apply now and help shape the future of autonomous systems in the built world!