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.
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 Planner Evaluation team works on one of the main challenges in autonomous driving: = improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!
In this hybrid role, you will report to an Engineering Manager.
You will:
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Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
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Use simulation creatively and mine real world driving logs to measure driving performance.
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Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
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Champion code health and best practices in a large and complex code base.
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Analyze data and make recommendations on how to improve metric quality and interpretability.
You have:
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BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
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2+ years of experience with
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Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
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Performing statistical analyses
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Building data processing pipelines
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Writing, reviewing, and merging code following industry standards for code health and maintainability
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We prefer:
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Experience coding in C++
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Experience with A/B experiment infrastructure
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Experience building and validating metrics to measure quality in complex systems
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Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
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Experience working in the AV industry
#LI-Hybrid
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.
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