Senior Software Engineer, Behavior Test Engineering

Waymo • San Francisco, CA

11d

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. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results. You will: Write reusable, high quality, software for analyzing simulation test & evaluation results and be an enabler and advocate for automation Lead cross-functionally to unblock development of scalable multi-platform testing, working with partner teams who develop the simulator or code running onboard the AV Develop metrics, test strategies and new methodologies to support rapid scaling and rare, but critical, edge cases Design and implement metrics, test plans, and simulated scenarios for testing the autonomous vehicle in off-nominal situations, such as after a fault occurs or when remote assistance is needed, across multiple platforms and in support of rapid commercialization Use your knowledge of autonomous vehicles, engineering and test strategy development to review and provide feedback on system requirements and feature validation plans

Requirements

• An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field OR equivalent practical experience involving perception or robotic systems
• Experience with software development for robotics OR experience with software verification and validation for software running on robotic, safety critical or high reliability systems
• Solid written and verbal communication and experience contributing to projects spanning across multiple disciplines
• Experience in data analysis/modeling or software engineering using C/C++, Python and SQL

Nice To Haves

• 8+ years of Engineering experience (graduate school and industry experience both count)
• Experience in autonomous vehicles, robotics, assisted driving technology, or other safety critical or high reliability system

Responsibilities

• Write reusable, high quality, software for analyzing simulation test & evaluation results and be an enabler and advocate for automation
• Lead cross-functionally to unblock development of scalable multi-platform testing, working with partner teams who develop the simulator or code running onboard the AV
• Develop metrics, test strategies and new methodologies to support rapid scaling and rare, but critical, edge cases
• Design and implement metrics, test plans, and simulated scenarios for testing the autonomous vehicle in off-nominal situations, such as after a fault occurs or when remote assistance is needed, across multiple platforms and in support of rapid commercialization
• Use your knowledge of autonomous vehicles, engineering and test strategy development to review and provide feedback on system requirements and feature validation plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level