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.
9 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Electrical Power Engineering, First Class Honours, Bachelor's Degree, Electrical Power Engineering, First Class Honours at Curtin University, Sarawak Malaysia
Master’s Degree, Electrical and Computer Engineering, Master’s Degree, Electrical and Computer Engineering at Georgia Institute of Technology