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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 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
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.