Senior Staff TLM, Fleet Orchestration & Optimization

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Fleet Orchestration team automates the management of Waymo's self-driving fleets by optimizing vehicle servicing needs and maximizing critical in-service time . Y ou will lead a growing team of 20+ engineers and TLMs to design and implement core business logic and full-stack Android/Web systems for depot management . You will: • Lead a growing team of 20+ engineers and TLM's to build Waymo’s Fleet Orchestration systems. • Design and implement core business logic determining vehicle servicing needs, routing to service locations, automated workflow execution. • Design and implement Android and Web full stack systems for Waymo’s depot management needs. • Collaborate closely with Product Management, Operations, Data Science, and other stakeholders to solve critical business needs. You have: • BS degree in Computer Science or equivalent practical experience. • 8+ years of experience in software development. • 5+ years of people management experience. • Experience as manager-of-managers and shaping an organization. • Technical leadership experience. We prefer: • Experience in C++. • MS in Computer Science, or equivalent practical experience. • Experience in high growth / startup environments. • Domain knowledge across the transportation, logistics, and/or autonomous vehicle industries. • Domain knowledge in robotics, embedded systems.