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 values 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 internal teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals.

You have:

• 4 years of full-time software engineering experience, or a quantitative PhD with at least 2 years of professional software engineering experience
• C++ basic competency
• Python basic competency
• SQL basic competency
• Excited about autonomous driving, Sim+Eval
• Desire to be a great manager
• 6+ 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.

We prefer:

• B.Sc. in Computer Science
• Experience working with large FAANG scale distributed systems.
• Experience managing small teams