Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.

Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world.

In this hybrid role, you will report to a Software 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 in order to evaluate the driving capability of the Waymo Driver.
• Improve the signal quality provided by the "virtual driver's test". Measure and improve the quality of individual simulations as well as 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 in order to improve code health and developer experience in the "virtual driver's test" development ecosystem.
• Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals.

Requirements:

• 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
• Strong verbal and written communication skills
• Excited about autonomous driving, Simulation + Eval,

We prefer:

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

#LI-Hybrid"