Software Engineer, Multiverse

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The multiverse team evaluates the Waymo Driver in simulations and in the real world to issue the driving license for each new version of our AI driver. We need to understand any tricky situations and anticipate the challenges that could come up in multiple lifetimes of driving to make sure our software handles those safely and gracefully. We solve complex technical challenges at the intersection of large-scale distributed data processing, sampling and decision making. We're collaborating with diverse teams, from data scientists and systems engineers to researchers. If you're a software engineer who excels at challenges, who dreams of a future where transportation is safer, smarter, and more accessible, we invite you to join us. Together, let's build the impossible.

In this hybrid role, you will report to a Senior Engineering Manager

You will:

• Build the infrastructure to administer a “virtual driver’s test” for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines and/or real-world monitoring to evaluate the driving capability of the Waymo Driver, and at low latency in the real world.
• Improve the signal quality provided by the “virtual driver’s test” and measured in the real world. Improve the quality of individual simulations and that of the overarching simulation workflows. Seek to answer whether the results of the “virtual driver’s test” are predictive of the Waymo Driver’s real-world driving behavior. 
• Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our “virtual driver’s test”: simulate the most interesting situations and report the most interesting simulation results.
• Apply software engineering best practices to improve code health and developer experience in the “virtual driver’s test” and the real world monitoring development ecosystems.
• Partner with teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals.

You have:

• 2 years of full-time software engineering experience, or a quantitative PhD with at least 6 months of professional software engineering experience
  • C++ basic competency
  • Python basic competency
  • SQL basic competency
• Excited about autonomous driving, Sim+Eval, Willingness to participate in professional development activities to stay current on industry knowledge

We Prefer:

• 1 years of industry or post-doc experience in a quantitative- or quality--focused engineering role in which you had experience developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions.
• B.Sc. in Computer Science
• 2+ years of experience working with large FAANG scale distributed systems.