Waymo
Senior Software Engineer, Planner Evaluation
Waymo, San Francisco, California, United States, 94199
Senior Software Engineer, Planner Evaluation
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. 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
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 decisions.
You Have
BS/MS or PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
Strong self‑motivation to navigate complex systems and pursue open‑ended problems to completion.
Willingness to move quickly between verticals for different internal customers, in addition to focusing on longer‑term local team priorities.
3+ years of industry experience with
Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL.
Building data processing pipelines.
Writing, reviewing, and merging code following industry standards for code health and maintainability.
Quant/data fluency is a top requirement.
We Prefer
Experience coding in C++
Experience with ML
Experience with A/B 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
Salary The expected base salary range for this full‑time position across US locations is $204,000—$259,000 USD.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr
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. 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
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 decisions.
You Have
BS/MS or PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
Strong self‑motivation to navigate complex systems and pursue open‑ended problems to completion.
Willingness to move quickly between verticals for different internal customers, in addition to focusing on longer‑term local team priorities.
3+ years of industry experience with
Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL.
Building data processing pipelines.
Writing, reviewing, and merging code following industry standards for code health and maintainability.
Quant/data fluency is a top requirement.
We Prefer
Experience coding in C++
Experience with ML
Experience with A/B 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
Salary The expected base salary range for this full‑time position across US locations is $204,000—$259,000 USD.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr