Jared Jensen is a Staff Software Engineer in San Francisco with 11 years of experience building autonomy software across motion planning, behavior planning, simulation, and mapping for self-driving trucks and AV platforms. He currently focuses on off-nominal issue handling within motion planning at Aurora after leading multi-team efforts at Embark to unify AV frameworks, simulation, and map infrastructure. Jared pairs deep learning and reinforcement learning knowledge with practical control, OpenCV, and ROS implementations, and has a track record of shipping behavior and prediction improvements in production AV stacks. Outside work he designs autonomous fighting robots and self-racing cars, a hobby that surfaces in his pragmatic approach to real-world edge cases and safety. A UC Santa Cruz CS graduate and Udacity self-driving nanodegree alumnus, he blends hands-on engineering with technical leadership across cross-functional projects.
11 years of coding experience
5 years of employment as a software developer
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
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