Staff ML SWE, Simulation

The Simulator team builds state of the art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning extensively to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.),  roads, traffic control systems, weather etc. To guide the development of simulator realism components, we create metrics to quantify realism, which are used to assess the quality of the simulator, identify sim2real gaps, and used as loss functions to train a more realistic simulator - which in turn is used to assess the quality of the Waymo Driver.

In this software engineering role, you'll:

• Develop novel methods to measure sim realism in the context of various simulator tech and applications
• Design and build robust and efficient platform to allow measuring sim realism at scale
• Design systems that can automatically discover useful realism metrics to guide simulator development
• Collaborate with a world-class engineering and research team that use large models to improve sim realism
• Be a part of a high performing, collaborative engineering team that build a realistic simulator which powers the evaluation of the Waymo Driver

Preferred qualifications

• Strong coding and design skills
• Experience in navigating a complex product space and setting technical roadmaps
• Experience in building robust and scalable infrastructure, or in evaluating complex systems
• Experience in AV space is a plus