Software Engineer, Fleet Orchestration & Optimization

Waymo • San Francisco, CA

11d

About The Position

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. Fleet Orchestration and Optimization is responsible for systems that aggregate information about fleet resources in order to automatically coordinate behaviors, which efficiently deliver safe and capable vehicle supply to Waymo's business use cases

Requirements

• BS degree in Computer Science or equivalent practical experience.
• 5+ years of backend or infrastructure experience.
• Experience with backend coding languages: C++, Python, and Java.

Nice To Haves

• Experience with C++ (or a willingness to learn)
• Passion for working in cross functional environments that include nontechnical stakeholders
• Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform)
• Experience with operations tooling, developer productivity, or developer tools
• Experience with optimization / OR scheduler
• Experience with Geo (pathfinder, mapfacts, walking directions)

Responsibilities

• Help build and evolve one or more mission-critical tools and systems.
• Collaborate with Product, UX, and other engineering teams to develop systems and processes as business needs grow and evolve.
• Solve hard, real-world problems such as fleet optimization, field escalation handling, workshop management, efficient mileage gathering, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level