Summary
Jenna Reher is a Staff Robotics AI Engineer in San Francisco with 11 years of experience building control and autonomy for legged and humanoid robots. She progressed from graduate research at Georgia Tech and Caltech—where she developed real-time optimization and control-Lyapunov-based locomotion on bipedal hardware—to product-focused roles at Apple and Figure, now helping lead humanoid development for corporate applications. Jenna blends rigorous academic foundations (PhD, hands-on 23DOF humanoid work) with pragmatic systems engineering, shipping control software in C++, Simulink Coder, and real-time stacks. Her background spans trajectory optimization for compliant robots, estimator design using MEMS IMUs, and deploying controllers on physical hardware under production constraints. Known for translating cutting-edge locomotion research into robust, deployable systems, she brings both lab-proven innovation and industrial execution to large-scale robotics programs. She also has a knack for tooling and automation from early engineering roles, which helps streamline complex integration and testing efforts.
11 years of coding experience
14 years of employment as a software developer
Georgia Institute of Technology
California Institute of Technology
Texas A&M University
Bachelor of Science - BS, Bachelor of Science - BS at University of Nebraska-Lincoln