
This full-time software engineering role within Zoox's Ride and Fleet Backend team focuses on designing and building the core dispatch system for autonomous robotaxis. The position involves developing scalable services and crafting complex algorithms for real-time dispatch optimization and route planning using operational research techniques like linear programming and queuing theory. Key responsibilities include integrating optimization models into the platform, utilizing simulation tools to test effectiveness, and analyzing data to forecast demand and improve fleet efficiency. The role appeals to candidates passionate about autonomous mobility and robotics, offering the opportunity to work on a ground-up fleet ecosystem at the intersection of machine learning and design. The position requires proficiency in Java or Kotlin and strong mathematical skills, supporting a fast-moving, execution-oriented culture.











