Summary
Dallin Briggs is a robotics and unmanned aircraft specialist with 11 years of experience translating research-grade autonomy into fielded drone systems and leading engineering teams at Lockheed Martin. He combines deep hands-on skills in Python, C++, ROS, ROS-based autopilots, GN&C, and computer vision with systems engineering and CI/CD practices to deliver reliable products for first responders and defense. His background spans research and productization—developing state estimation, perception, and mapping algorithms for off-road and aerial vehicles and introducing Agile and containerized workflows to improve deployability. A former MS candidate focused on GPS-denied target handoff, he pairs academic rigor with practical tools like Docker, Linux, and embedded deployment pipelines. Known for mentoring teams and winning government SBIR work, he focuses on measurable impact: safer missions, faster deployments, and more maintainable autonomy stacks.
10 years of coding experience
11 years of employment as a software developer
Technical Degree Automotive Performance, Technical Degree Automotive Performance at Mountain Land Applied Technology College
Bachelor of Science Mechanical Engineering, Bachelor of Science Mechanical Engineering at Brigham Young University