External opportunity
Senior Software Engineer, Eval Efficiency & Optimization
$213,000–263,000
Added 4 Nov 2026 · Engineering
Job description
with LibreTranslate
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.
As a Software Engineer, you will solve ill-defined problems at the intersection of statistics, machine learning, and scalable systems engineering. You will develop creative quantitative models to address eval challenges, while providing rigorous mathematical and experimental proof of the correctness and statistical efficiency of your solutions.
You will:
Tackle ill-defined, ambiguous problems and reduce complex systems into tractable quantitative models.
Develop statistical techniques that enable our evaluation pipelines to deliver better signals with fewer resources.
Design and build automation to enhance the efficiency and scalability of our evaluation infrastructure.
Collaborate with other engineers, data scientists, product managers, 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 Math, Physics, or another quantitative field
Fluency in implementing statistical, ML, and general mathematical algorithms for large datasets
Experience adapting techniques in research papers to applied problems
Strong self-motivation and comfort with ambiguity to navigate complex systems and pursue open-ended problems to completion
3-5 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:
PhD in a quantitative field
Experience programming in C++ and Python
Experience developing, evaluating, and deploying products at scale
Experience with Agentic AI
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
$213,000—$263,000 USD
Pay, skills & work eligibility
Compensation
$213,000–263,000
Pay basis not specified · Pay period not stated
Identified in listing text. No currency conversion or estimated salary.
View compensation wording
Salary Range $213,000—$263,000 USD
Location, eligibility & working hours
- Listed work location
- Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA; Pittsburgh, PA, USA / Mountain View, California, United States / New York, New York, United States / Pittsburgh, Pennsylvania, United
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 3–5 years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.