Oytun Ulutan is a Staff Software Engineer specializing in perception systems, with a decade of experience building production-grade computer vision and deep learning solutions at Zoox. He earned a Ph.D. from UC Santa Barbara’s Vision Research Lab, where his work spanned multi-modal learning and cutting-edge vision research before transitioning those advances into autonomous vehicle perception stacks. At Zoox he progressed from software engineer to staff level, leading vision efforts that bridge research rigor and real-world system constraints. His background includes research internships at IBM and the US Army Research Laboratory, reflecting a blend of academic depth and applied problem solving. Based in Buena Park, CA, he brings both mentorship experience from academia and hands-on engineering leadership in safety-critical perception systems. Notably, his profile hints at a researcher-turned-practitioner mindset—comfortable publishing and prototyping novel models while shipping robust, scalable perception software.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.Sc.) Electrical and Electronics Engineering, Bachelor of Science (B.Sc.) Electrical and Electronics Engineering at Bilkent University
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at UC Santa Barbara
Real-time Action detection demo for the work Actor Conditioned Attention Maps. This repo includes a complete pipeline for person detection/tracking and analyzing their actions in real-time.
Contributions:190 commits, 10 PRs, 53 pushes in 2 years 4 months
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Oytun Ulutan - Staff Software Engineer - Perception at Zoox