Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The platforms team is seeking a staff software engineer to mature our ability to evaluate autonomous driving software at scale, on target compute hardware. Incorporating the vehicle’s compute system enables high-fidelity simulations that can find rare reliability and performance issues. The team’s work can vary from high-level simulation strategy to whole-system debugging.
In this role, you will:
- Work with partners from perception, planning, and other onboard software teams to improve simulation fidelity.
- Work across teams to mature our simulation strategy for high confidence that we can discover even extremely rare issues before on-vehicle testing.
- Improve the efficiency, reliability, and trustworthiness of simulations.
- Bring the simulator to new hardware platforms.
- Mentor senior team members and provide forward-looking technical leadership.
You have:
- Bachelor’s degree in computer science or equivalent practical experience.
- 8+ years of experience delivering complex, production-quality software.
- Proficiency in C++ and a scripting language like Python.
- Expertise in operating systems concepts on Linux: networking, filesystems, performance troubleshooting, device I/O.
- Familiarity working in systems with high concurrency: multiple processes, threads, timers, and interrupts.
- Experience with high-performance embedded systems at scale.
- Experience driving change in very large codebases.
We prefer:
- Master’s degree in computer science or equivalent practical experience.
- Familiarity with robotics concepts: inter-process messaging, logging, reproducibility, diagnostics, and fail-operational designs.
- Experience with hardware-accelerated compute workloads (e.g., GPU, ML accelerators, image/data processors)
- Experience simulating complex systems
- Experience with data center infrastructure
This is a hybrid role, based in the Mountain View office.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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