Jason Owens is a Staff TLM in Perception with 27 years of software and research experience focused on enabling robots and self-driving vehicles to see and act intelligently. Currently leading perception tooling and lifecycle management at Aurora, he previously built perception systems at Uber ATG and spent 16 years as a computer scientist at the US Army Research Laboratory, blending research rigor with production engineering. He holds advanced computer science degrees (MS and PhD) from Johns Hopkins and Penn and brings deep low-level systems experience from early roles in embedded and real-time software. Jason’s background in clarinet performance hints at a disciplined, detail-oriented approach and an ability to translate complex, human-centric problems into elegant technical solutions. He’s equally fluent in research and applied engineering, specializing in turning perception research into reliable, deployable systems for safety-critical domains.
27 years of coding experience
21 years of employment as a software developer
Johns Hopkins University
Bachelor’s Degree, Music - Clarinet Performance, Bachelor’s Degree, Music - Clarinet Performance at The Peabody Institute of The Johns Hopkins University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Pennsylvania
A small layer to facilitate open messaging between a set of components.
Contributions:151 commits, 4 PRs, 67 pushes in 3 years 6 months
chatmessaging
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