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Staff Software Engineer, Quantitative Evaluation

Company:
Waymo
Location:
Mountain View, CA, 94039
Posted:
January 26, 2026
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Description:

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 ability to develop workflows to evaluate safety, compliance, and service quality in new cities, novel situations, and issues identified in the field is critical to scaling Waymo's business.

The Behavior Sets team is focused on accelerating the development of driving sets and evaluation workflows used to evaluate the Waymo Driver.

We develop ML-based tooling for data mining, identification, sampling, and optimization for evaluation workflows based on simulations of logged and synthetically generated driving scenarios.

In this hybrid role, you will report to our Senior Manager of Evaluation Engineering You will: * Improve product requirements for tools and measurements to understand and control the quality of Waymo's driving evaluation tools (aka "eval of eval") * Translate product requirements into engineering and data science tasks, and implement these as the primary individual contributor * Critically examine and improve the data and statistical methods used to evaluate our tools * Extend and improve our underlying infrastructure to meet product needs and ensure consistency across our stack * Work with partners to integrate eval of evaluation tools into workflows and processes You have: * MSc level statistics or equivalent work experience * 5+ years industry experience with * Data processing pipelines * SQL and databases * C++ and/or Python We prefer: * Experience developing evaluation tools, metrics, statistical algorithms, and related data * Experience iterating on product vision together with Product Managers and leadership #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.

Salary Range $238,000-$302,000 USD We appreciate your interest in Waymo.

Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees.

We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs.

Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law.

Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law.

Waymo is committed to making sure our hiring process is accessible for all candidates.

If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email . (This email address is intended to be used only for requesting accommodations as part of the application process.

Other inquiries will not receive a response.)

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