Job Description

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 field
• 7+ years of experience in computer vision or image processing, ideally in autonomous systems
• Proficiency in C++ and Python
• Strong knowledge of point cloud processing , sensor calibration , and tools like OpenCV and PCL
• Understanding of machine learning models for perception tasks
• Familiarity with tools like Git, JIRA, and vision system debuggers
• Excellent problem-solving and communication skills

Bonus Points For

• Experience with terrain segmentation and environmental modeling
• Familiarity with ROS and real-time robotic systems
• Background in SLAM and deploying on edge computing hardware

Join 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!

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