Mason U'ren is a Staff Autonomy Software Engineer with nine years of experience building production-grade autonomous systems, embedded control software, and deep learning solutions from prototype to fielded product. He has led global teams and delivered high-stakes recoveries and safety-critical features—most notably rescuing a 65-ton electric mining truck and industrializing mm-accurate DNN-based tracking for real-time clients. Comfortable across C/C++, Python, ROS, RTOS and containerized CI pipelines, Mason blends rigorous software best practices with hands-on work in object detection, tracking, and vehicular cyber-security. He contributes DARPA-grade detection-by-tracking research to help first responders triage mass-casualty incidents and has a track record of translating research into resilient embedded and autonomy stacks. Based in the San Francisco Bay Area, he mentors engineers while driving pragmatic architecture and validation strategies that meet tight timelines and operational constraints.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at California State University Channel Islands Extended University
Associate of Science (A.S.) Civil Engineering, Associate of Science (A.S.) Civil Engineering at Cuesta College
Bachelor of Science (BS) Mathematics and Applied Physics, Bachelor of Science (BS) Mathematics and Applied Physics at California State University Channel Islands
The Simultaneous Localization and Mapping of an unknown 2-Dimensional plane, using noisy sonar range finders, within a multi-agent framework (namely ROS-Robotic Operating System). Implemented atop the CSUCI summer SURF 2018 NASA Swarmathon code base.
Contributions:85 commits, 4 PRs, 8 pushes in 1 year 4 months
unknownsonaratopmulti-agentbase-code
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Mason U'ren - Staff Autonomy Software Engineer at Archer