Summary
Caelan Garrett is a research scientist at NVIDIA's Seattle Robotics Lab with a decade of experience bridging academic research and industrial robotics. He earned his B.S., M.Eng., and Ph.D. in EECS from MIT, where he spent years in CSAIL's Learning and Intelligent Systems Group focusing on perception and learning for embodied agents. At NVIDIA he translates cutting-edge research into scalable robotics systems, building on internships at Amazon Robotics, Optimus Ride, and prior stints at Google and Twitter. His background combines strong theoretical foundations with hands-on computer vision and perception engineering, a mix that helps accelerate real-world robotic autonomy. Notably, his trajectory reflects a consistent thread of applied research—moving from undergraduate projects to doctoral work to production-focused research roles—underscoring an ability to take ideas from prototype to deployment. Based in Seattle, he contributes to advancing robotics by marrying rigorous ML methods with practical system engineering.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering & Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering & Computer Science at Massachusetts Institute of Technology
High School Advanced Diploma, High School Advanced Diploma at Thomas Jefferson High School for Science and Technology