Summary
Brian Jackson is a robotics software engineer and PhD-trained optimization specialist with 11 years of experience building trajectory-optimization and motion-planning systems for real-world robots and autonomous vehicles. He has moved between top research labs and industry—Stanford and Carnegie Mellon PhD work, a production solver and on-vehicle validation at Optimus Ride, mission-critical optimization deployments at Albedo, and now hardware-accelerated motion-planning libraries at NVIDIA. His expertise spans nonlinear constrained optimization, control theory, and embedded/resource-constrained algorithm deployment, with a track record of shipping open-source solvers and turning research ideas into fielded software. Comfortable across C++ production code and theoretical algorithm design, he aims to enable safer, more dynamic robot behaviors that interact predictably with people and the environment. An avid hiker who once led bilingual volunteer teams in Mexico, he brings both technical rigor and cross-cultural leadership to complex, multidisciplinary projects.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Brigham Young University
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Master of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Stanford University
Spanish