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Senior Computer Vision Engineer

Civ Robotics
San Francisco, CA Full Time
POSTED ON 1/14/2025
AVAILABLE BEFORE 4/11/2025

About the Company Civ Robotics is on a mission to automate repetitive tasks within the $3 trillion infrastructure construction industry. We're dedicated to bridging the workforce gap and accelerating the development of essential infrastructure projects. At the core of our mission is our innovativetechnology in robotics and autonomous navigation. With over 100 robots deployed and operating across construction sites worldwide, we pride ourselves in ushering in the next generation of construction layout tools for solar, civil, landsurveying, road striping, and general contracting. Our technology is engineered from the ground up to make our customers' projects more precise, simple, and efficient than ever before.Join us and become an integral member of our dynamic team, leading the charge in pioneering construction robotics innovation!

About the Role We are seeking a Senior Computer Vision Engineer to drive the development of vision-based systems for our autonomous robots. This role focuses on sensor calibration, point cloud processing, and terrain analysis to enable precise environmental perception and navigation. You will work closely with cross-disciplinary team members to ensure our robots operate effectively in dynamic construction environments.

Key Responsibilities ? Develop and optimize computer vision algorithms for sensor calibration (e.g., cameras, LiDAR, IMUs).? Construct and process point clouds from multi-sensor data (cameras, LiDAR, IMUs etc).? Perform terrain analysis for obstacle detection, ground surface modeling, and path planning.? Implement and refine sensor fusion techniques for accurate environmental mapping.? Design and implement algorithms for object recognition, segmentation, and tracking.? Develop and maintain real-time vision pipelines to support autonomous navigation.? Document algorithms, processes, and experimental results.

Requirements ? Education : Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.? Experience : 7 years in computer vision, image processing, or related fields, with experience in autonomous systems.

Technical Skills : ? Proficiency in programming languages : C , Python.? Experience with point cloud processing and 3D reconstruction.? Expertise in sensor calibration methods (intrinsic / extrinsic calibration of cameras, LiDAR, and IMUs).? Strong knowledge of computer vision libraries (OpenCV, PCL etc).? Understanding of machine learning models for vision tasks (classification, segmentation).

Tools : Experience with development tools (Git, JIRA) and debugging tools for vision systems. Soft Skills : Strong problem-solving abilities, attention to detail, and the ability to work collaboratively in a dynamic environment.

Preferred Qualifications ? Experience with terrain analysis and segmentation techniques.? Familiarity with ROS (Robot Operating System) and real-time processing pipelines.? Experience with SLAM (Simultaneous Localization and Mapping).? Familiarity with deploying vision models on edge computing hardware.

Why Join Us ? Work on innovative technologies shaping the future of construction.? Collaborative and dynamic work environment.? Opportunities for growth and professional development.

Benefits & Perks : ? Comprehensive healthcare coverage includes medical, dental, and vision benefits for you and your family.

PI258541082

Salary : $3

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Job openings at Civ Robotics

Civ Robotics
Hired Organization Address San Francisco, CA Full Time
About the Company Civ Robotics is on a mission to automate repetitive tasks within the $3 trillion infrastructure constr...
Civ Robotics
Hired Organization Address San Francisco, CA Full Time
About the Company Civ Robotics is on a mission to automate repetitive tasks within the $3 trillion infrastructure constr...
Civ Robotics
Hired Organization Address San Francisco, CA Full Time
About the Company Civ Robotics is on a mission to automate repetitive tasks within the $3 trillion infrastructure constr...

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