Software Engineer, Simulation Infrastructure

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 platforms team is seeking a software engineer to mature the infrastructure supporting one of Waymo’s driving simulation technologies. This simulation system runs a software configuration as similar as possible to the real vehicle, on the same compute hardware as the vehicle. Incorporating the vehicle’s compute system enables high-fidelity simulations that can find performance and reliability issues, and can accurately simulate fault responses and system mode transitions.

In this role, you will:

• Improve backend web services that support simulations. This includes quota management, integration with systems that perform simulation preprocessing and postprocessing, and integration points with teams that rely on simulation results.


• Improve tools to manage colocated machines that control power and cooling for embedded hardware systems.


• Track and drive improvements to simulation efficiency.

You have:

• Bachelor’s degree in computer science or equivalent practical experience.


• 3+ years of experience delivering complex, production-quality web services.


• Proficiency in C++ and a scripting language like Python.


• Experience with Linux systems.

We prefer:

• Master’s degree in computer science or equivalent practical experience.


• Experience driving change in very large codebases.


• Experience with software that interfaces with embedded systems.


• Familiarity with ansible or a similar fleet orchestration tool.


• Familiarity with operating systems concepts like networking and filesystems.