Senior Staff TLM, Fleet Orchestration & Optimization
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Job Description
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. You 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.
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