Senior Software Engineer, Planner

Waymo•Mountain View, CA

45d•Hybrid

About The Position

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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. In this hybrid role, you will report to a Technical Lead Manager

Requirements

BS/MS/PHD in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
General software engineering experience programming in C++ with robust and efficient code
Ability to collaborate within and across teams

Nice To Haves

AV or Robotics experience
Experience in graph search, optimization, or path planning algorithms.
4+ years of Software Engineering experience in complex systems
Coding proficiency in Python and SQL

Responsibilities

Investigate driving behavior issues from logs and understand the root cause. Look for trends in behavior from large amounts of data.
Research, design, and implement new driving logic and onboard motion planning systems that improve low-speed maneuvering and parking performance.
Develop foundational frameworks that help advancement of the Waymo Driver's capabilities.
Improve evaluation capabilities to better understand on-road performance.
Directly contribute to solving some of the most challenging driving situations in the long tail.

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