Staff Software Engineer, TLM, Quantitative Evaluations

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 Engineering Manager.

You will:

• Lead and manage a team of software engineers in charge of developing driving quality metrics, measuring the robustness of the Waymo Driver to its input (e.g. sensors data, maps), using a range of techniques including ML, statistics, and algorithms

• Define a long-term strategy, develop roadmaps, and guide the team to execute projects from ambiguous requirements to high-impact deliverables

• Use simulation creatively and mine real world driving logs to measure driving performance

• Champion code health and best practices in a large and complex code base

• Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions

You have:

• Master's degree or PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area

• 5+ years of experience in the field of software engineering

• Solid technical leadership in defining vision, strategy and priorities

• Proficiency in C++ or Python in a production environment

• Strong technical communication and collaboration skills

We prefer:

• 2+ years of experience in team management

• Experience coding in C++

• Experience with ML

• Experience with A/B experiment infrastructure