Summary
Esther Ling is a software engineer with nine years of experience specializing in mapping, localization, and sensor calibration for self-driving vehicles, currently contributing to Nuro’s autonomy stack in Boston. She has deep C++ and robotics expertise from roles at Optimus Ride—where she led calibration improvements, designed road network layers, and shipped IMU factors for a GTSAM-based pose graph—and research work at Georgia Tech on visual SLAM and traffic signal analytics. Esther combines academic rigor (M.S. in ECE) with hands-on systems engineering, building pipelines, large sensor databases, and tooling to make calibration reproducible and maintainable. Her work consistently targets production-grade perception accuracy and long-term code maintainability, and she has a track record of integrating open-source SLAM and developing practical tooling to accelerate sensor workflows.
10 years of coding experience