Sr. Software Engineer, Core Platforms

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 Core Platform team is responsible for software and infrastructure on several components of the Waymo self-driving system.  The team’s scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, full-system debugging, system telemetry, and reliability. We work closely with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.

This positions reports to the Tech Lead Manager.

You will:

• Work on a small team of Software Engineers to develop system software components from early prototyping to production launch of autonomous vehicles


• Improve the efficiency, reliability, and trustworthiness of onboard software infrastructure


• Collaborate with a variety of engineering teams to take on complex problems

You have:

• BA/BS degree in Computer Science, or relevant technical field or equivalent practical experience


• Proficiency in C++


• 5+ years of relevant work experience


• Familiarity with operating systems concepts on Linux: networking, filesystems, performance troubleshooting, device I/O, and concurrency


• Experience developing applications for Linux-based embedded devices

We prefer:

• Knowledge of GPUs, ML accelerators, power management, high-performance networking or performance optimization


• Familiarity with robotics concepts: inter-process messaging, logging, reproducibility, diagnostics, and fail-safe designs


• Experience driving change in existing, complex systems and codebases


• Proficiency in Python