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:
- Architect the backbone of onboard reliability: build the critical infrastructure and tooling ecosystem that ensures onboard software is robust and reliable by design.
- Develop a deep understanding of system behavior, implementing dense, low-noise metrics providing immediate insight into vehicle and fleet performance.
- Collaborate across Waymo to refine reliability workflows, ensuring business-critical operations run smoothly and safely at scale.
- Engineer systems that proactively detect anomalies and automate clustering, drastically reducing the friction of managing reliability and catching issues early.
You have:
- BS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience).
- 3+ years of experience in C++ or Python, building scalable pipelines and tooling.
- Understanding of fundamental statistical concepts and applying them in the real world.
- 2+ years of experience organizing chaos across organizational boundaries.
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).
- Experience in software reliability space.
#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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