Bryant Pong is a senior robotics software engineer based in Hayward, California, with 11 years of ROS/C++ experience delivering autonomous systems for service robots and consumer devices. He has led and contributed to end-to-end robotics software—from URDF-driven swerve-drive cane systems and depth-camera processing to navigation stacks and velocity-based safety controllers for dynamic indoor environments. At Glidance, he designed multiple URDFs, a ROS 2 controls-based swerve-drive controller, obstacle-avoidance nodes, and a unified Python launch system, with the feature showcased to visually-impaired users and highlighted in media. Earlier roles at Neato and Bear Robotics saw him advancing mapping, A*-based path planning, calibration tools, Gazebo simulations, and robust safety controls that prevent collisions in real-world operation. He began his career with robotics research at Rensselaer, developing 6-DOF arm kinematics and ROS frameworks, grounding his production work in strong theoretical foundations.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.73, Bachelor of Science (B.S.), Computer Science, 3.73 at Rensselaer Polytechnic Institute
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