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 Roadgraph team builds the intelligent platform and automated pipelines that create, validate, and scale the high-definition geo knowledge base powering the Waymo Driver. We combine applied machine learning, computer vision, statistical evaluation, and large-scale distributed systems to solve one of the most foundational and exciting challenges in autonomous driving.
High-definition mapping is a foundational pillar enabling the Waymo Driver to navigate safely, smoothly, and reliably. To rapidly expand commercial autonomous ride-hailing to new cities and continents, we must scale our automated mapping pipelines. This role sits at the center of that mission—building the applied ML models, evaluation engines, and large-scale data infrastructure that transform real-world sensor streams into the world's most precise and reliable spatial knowledge base.
We work closely with onboard engineers to solve problems in an end to end fashion. You will be working on all aspects of the modeling life cycle (labeling, training, evaluation, inference), put your models to work, and measure impact on the overall system.
You will:
- Evaluate and launch machine learning models that automatically generate map from raw data.
- Work with onboard teams to evolve Waymo’s mapping format to make it more automation friendly.
- Apply statistical analysis to validate large-scale changes.
- Build backend infrastructure for storing and processing many forms of map data.
- Scale our systems to support mapping the whole world.
You have:
- B.S. in Computer Science or a similar technical field, or equivalent practical experience.
- Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of ML models or data pipelines.
- Experience building scalable data processing pipelines using distributed frameworks like Google Data Flow or Apache Beam.
- Demonstrated ability to take ownership of complex technical problems end-to-end and deliver measurable results in a collaborative team environment.
- A passion for good software engineering.
We prefer:
- Master’s or Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field.
- Experience with high-performance computing, C++ optimization, and large-scale distributed systems architecture.
- Domain familiarity with autonomous vehicles, robotics, high-definition (HD) mapping or GIS/spatial databases.
#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.
Skills Required
- Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience
- Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of machine learning models or data pipelines
- Experience building scalable data-processing pipelines using distributed frameworks such as Google Dataflow or Apache Beam
- Ability to own complex technical problems end-to-end and deliver measurable results in a collaborative environment
- Passion for good software engineering
- Master's or Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field
- Experience with high-performance computing, C++ optimization, and large-scale distributed systems architecture
- Familiarity with autonomous vehicles, robotics, high-definition mapping, or GIS/spatial databases
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
