Senior Software Engineer, Statistical Evaluation and Sampling

Full Timesenior

Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USAPosted 26 days ago

Role Overview

Waymo is hiring a Senior Software Engineer, Statistical Evaluation and Sampling. This is a full-time role in Mountain View, CA, USA; San Francisco, CA, USA; New York. Part of Waymo's Data Science hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Data Science roles is $160k-$214k (based on 41 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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PythonSQLORBenefitsDiscoveryWaymoSinceGoogle

Job 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.

Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines.

You will:

Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources.
Find signals in our logs and simulations that might help us to more efficiently discover rare and important events.
Build systems that systematically optimize multiple objectives under resource constraints.
Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.
Champion code health and best practices in a large and complex code base

You have:

BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
Fluency with probability and statistics
Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
5+ years of 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

We prefer:

7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines
Experience programming in C++
Experience developing and evaluating sampling methods
Experience designing, training, evaluating, and applying ML models
Experience working in the AV industry
PhD in a quantitative field

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

About Waymo

Waymo

waymo.com

Data ScienceOn-site

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Frequently Asked Questions

How do I apply for the Senior Software Engineer, Statistical Evaluation and Sampling position at Waymo?

Use the Apply button above to submit your application directly to Waymo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Software Engineer, Statistical Evaluation and Sampling position at Waymo located?

This position is based in Mountain View, CA, USA; San Francisco, CA, USA; New York. Waymo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Software Engineer, Statistical Evaluation and Sampling at Waymo earn?

Waymo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Software Engineer, Statistical Evaluation and Sampling role at Waymo posted?

This role was posted on June 17, 2026 (26 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Software Engineer, Statistical Evaluation and Sampling role at Waymo require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Waymo lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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