Waymo
Autonomous Driving Technology
StaffSoftwareEngineer,QuantitativeEvaluations
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Software Engineer, Quantitative Evaluations at Waymo. Skills: Quantitative Evaluations, Software Engineering, Data Analysis. Develop signals to measure performance. Measure driving qualities”
What You'll Achieve.
Improve access to mobility; Save thousands of lives; Improve how we characterize evaluations; Improve how we evaluate changes; Deliver evaluation products; Make data driven decisions
Industry & Context.
Navigate complex systems; Pursue open-ended problems
What They're Looking For.
Must Have
BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, 4-7 years of industry experience, Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL, Performing statistical analyses, Building data processing pipelines, Writing, reviewing, and merging code following industry standards for code health and maintainability, Quant/data fluency
Nice to Have
Experience coding in C++, Experience with ML, Experience with A experiment infrastructure, Experience building and validating metrics to measure quality in complex systems, Exposure to ad-hoc data analysis tools for rapid modeling and prototyping, Experience working in the AV industry
What You'll Do.
Develop signals to measure performance
Measure driving qualities
Use simulation creatively
Mine real world driving logs
Design and implement methods
How You'll Work.
Team & Collaboration
Collaborate with other engineers; Collaborate with data scientists; Collaborate with statisticians; Collaborate with leadership team
Full Job Description
Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and 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! This role follows a hybrid work schedule and reports to an Sr. Engineering Manager. You will: 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. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisio
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