Staff Software Engineer, Collision Avoidance Testing

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.

This role follows a hybrid work schedule and you will report to Systems Engineering Leadership.

You will:

• Architect software and design systems that enable scalable and maintainable testing of autonomous vehicle collision avoidance capabilities
• Establish strategic technical partnerships with the simulation team to co-design well-defined and extensible APIs
• Integrate, test, and validate the latest state of the art simulation technologies with our collision avoidance testing framework
• Develop new tools and capabilities to automate test quality and performance
• Mentor more junior engineers

You have:

• BS in Computer Science or a related field
• 10+ years of experience in Software Engineering
• Demonstrated ability to design robust, scalable, and maintainable software architectures and APIs
• Strong C++ and Python coding skills
• Technical leadership skills, with the ability to drive strategy, influence across teams, and mentor other engineers

We prefer:

• Master's degree or PhD in Computer Science or a related field
• Experience in autonomous vehicles or robotics
• Experience with simulation systems