Everly Su

Everly Su currently serves as the AI Engineering Manager at Zoox Smart Data, where she leads a dynamic team of over 20 engineers dedicated to advancing autonomous driving technologies. Her role involves overseeing the development of perception, decision-making, and control modules that form the backbone of Zoox’s autonomous vehicle systems. With a robust technical foundation in artificial intelligence and machine learning, Everly specializes in designing and deploying large-scale AI systems that enable real-time data processing and intelligent decision support for autonomous vehicles.

At Zoox, she has spearheaded key projects focused on leveraging deep learning and reinforcement learning to enhance perception systems, allowing vehicles to accurately interpret complex environments. Her expertise in CNNs, data processing frameworks like Spark and Hadoop, and programming languages such as Python, C++, and Java, has been instrumental in optimizing data flow and system performance. Everly’s strategic approach involves integrating cutting-edge AI techniques with scalable data architectures to ensure the robustness and safety of autonomous driving solutions.

Her leadership extends beyond technical development; she actively fosters cross-functional collaboration among data scientists, software engineers, and product teams to accelerate innovation and deployment. With a keen focus on AI for business applications, Everly continuously explores new methodologies to improve system efficiency, reliability, and scalability. Her deep industry knowledge and hands-on experience position her as a key driver in Zoox’s mission to revolutionize mobility through intelligent, autonomous systems.