Six Figure Work

Senior Software Engineer, Quantitative Evaluations

Waymo

Company websitewaymo.com (Waymo, opens in new tab)

Base salary $204K  to $259K

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA +1 more

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  • LocationMountain View, CA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since
All places named
  • Mountain View, CA
  • San Francisco, CA

About this job

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 Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

This role follows a hybrid work schedule and reports to an Engineering Manager.

You will:

  • Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
  • Use simulation creatively and mine real world driving logs to measure  driving performance.
  • Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
  • Champion code health and best practices in a large and complex code base.
  • Analyze data and make recommendations on how to improve metric quality and interpretability.
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
  • 2-3 years of industry experience with
    • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
    • Performing statistical analyses
    • Building data processing pipelines
    • Writing, reviewing, and merging code following industry standards for code health and maintainability
    • Quant/data fluency is a top requirement

We prefer:

  • Experience coding in C++
  • Experience with ML
  • Experience with A/B experiment infrastructure
  • Experience building and validating metrics to measure quality in complex systems
  • Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
  • Experience working in the AV industry

#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

$204,000—$259,000 USD

Source: Waymo on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($204,000) is above 74% of the 4,209 Software Engineering roles in California listed on this site; 18 others list the same floor. Their median floor is $176,500; the middle half runs from $149,400 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.

This range next to 6 other live Waymo roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Waymo roles with the nearest advertised base floor
RolePublished base
Senior Software Engineer, Quantitative Evaluations (this listing)$204K - $259K
Safety Engineer - Risk Management$204K - $252K
Senior Android Engineer, In-Car Experience$204K - $259K
Research Scientist, RL for Autonomous Planning & World Modeling$204K - $259K
Senior Machine Learning Engineer, Simulation$204K - $259K
Senior Formal Verification Engineer$204K - $259K
Sr Software Engineer, Android Automotive$204K - $259K

Same $100K to $400K scale as every card. All Waymo roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2025-12-18
Where this pay comes from

Location as the employer wrote it: Mountain View, CA, USA; San Francisco, CA, USA

$204,000—$259,000 USD

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.