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 Planner/Perception Reliability team builds out architectures, tools, and workflows to prevent, identify, and guide fixes of reliability issues.
The team focuses on reliability and is accountable for onboard software health while ensuring high development velocity.
In this hybrid role you will report to a Staff Software Engineer / Tech Lead Manager.
You will:
- Build architecture and tools to identify bugs before they get introduced into the codebase.
- Develop advanced C++ static analysis and code review flows.
- Develop and drive adoption of library-level constructs, static analysis tools, compiler extensions (e.g., lifetime safety annotations, reliability contracts).
- Champion Waymo-wide code hygiene and testing standards to increase code quality and development speed.
- Build and own sanitizer workflows and analysis for discovering and fixing threading, memory, and undefined behavior issues.
You have:
- BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience).
- 5+ years experience programming in C++ with robust and efficient code and library development
- 3+ years of experience with advanced language-specific constructs (e.g., metaprogramming, value categories).
- C++ library development experience with tens+ of engineer users.
- Strong software architecture skills.
We prefer:
- MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience.
- Experience with autonomous vehicles (L4) or ADAS systems (L2/L3).
- Clang & static analysis experience (including clang-tidy, clang-static-analyzer).
#LI-Hybrid
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.
Top Skills
Waymo Mountain View, California, USA Office
1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043
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