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 Role
We'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.
Responsibilities
- Develop and optimize vision algorithms for calibrating cameras, LiDAR, and IMUs
- Fuse sensor data and process point clouds for real-time environment mapping
- Conduct terrain analysis for obstacle detection and navigation
- Design algorithms for object detection, segmentation, and tracking
- Build and maintain real-time vision pipelines for deployment on autonomous platforms
- Collaborate cross-functionally to integrate vision systems into robotic workflows
- Document methods, experiments, and outcomes
Requirements
Master’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 For
Experience 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!