Summary
Edward Terry is a Senior Perception Engineer with a decade of experience building and fielding robotic systems that fuse computer vision, localization, and real-world integration. Trained at Carnegie Mellon and with roles spanning startups, government labs (JPL) and industry, he specializes in deploying robust detection and tracking pipelines using C++, Python, ROS and edge hardware like Nvidia Jetson. He pairs software expertise with hands-on hardware skills—CAD, rapid prototyping and fabrication—enabling fast iteration from concept to manufacture. Known for taking research-grade perception into production, he has repeatedly delivered tested field systems across aerial and ground platforms. Based in San Francisco, he combines aerospace-rooted engineering rigor with startup pragmatism to solve messy real-world autonomy problems.
10 years of coding experience
13 years of employment as a software developer
The University of Sydney
Masters of Science Robotic Systems Development, Masters of Science Robotic Systems Development at Carnegie Mellon University
English, French