Ury Zhilinsky
About Ury Zhilinsky
Ury Zhilinsky is a Senior Director and Head of Behavior and Simulation at Nuro, where he has worked since 2022. He has extensive experience in software engineering and applied research, having previously held positions at Waymo, YouTube, and Crytek, among others.
Work at Nuro
Ury Zhilinsky serves as the Senior Director and Head of Behavior and Simulation at Nuro, a position he has held since 2022. In this role, he leads engineering and applied research teams, emphasizing solid engineering practices and high code quality. His focus includes developing machine learning infrastructure and tooling for autonomous driving projects, contributing to Nuro's mission of advancing autonomous delivery solutions.
Experience at Waymo
Prior to his current role, Zhilinsky worked at Waymo as a Senior Staff Software Engineer in Simulation and Behavior Research from 2014 to 2022. During his eight years at Waymo, he contributed to the development of simulation technologies and behavior models for autonomous vehicles, enhancing the company's capabilities in the autonomous driving sector.
Previous Roles in Software Engineering
Zhilinsky has held various positions in software engineering prior to his tenure at Nuro. He worked as a Senior Software Engineer at YouTube from 2013 to 2014 and as a Senior Graphics Programmer at Red 5 Studios from 2011 to 2013. Additionally, he served as an R&D Manager and Senior R&D Graphics Programmer at Crytek between 2009 and 2011, and as an Algorithms Team Leader at Lucid Logix from 2007 to 2008.
Educational Background
Ury Zhilinsky studied Mathematics and earned a Bachelor of Arts degree from Israel Jobs between 2003 and 2007. He has also engaged in further learning through Coursera, enhancing his knowledge and skills in relevant fields.
Technical Expertise and Focus
Zhilinsky has a strong background in graphics, game engines, consumer applications, and real-time systems, which he transitioned into the field of autonomous driving. His expertise includes a focus on machine learning infrastructure and tooling/visualization, which are critical components in the development of autonomous vehicle technologies.