Senior Software Engineer, Eval Efficiency & Optimization
What you need
- BS in Math, Physics, or quantitative field
- 3-5 yrs navigating large codebases in C++, Python, SQL
- Fluency in statistical and ML algorithms
- Experience adapting research papers to applied problems
- PhD preferred in quantitative field
What you'll do
- Tackle ill-defined problems into quantitative models
- Develop statistical techniques for eval pipelines
- Design automation for evaluation infrastructure
- Collaborate with engineers and leadership on eval products
- Champion code health in large complex codebase
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.
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About Waymo
Waymo, an Alphabet company, is the world leader in autonomous driving technology. Their Waymo Driver powers fully autonomous ride-hailing services in multiple US cities, having completed millions of driverless trips. Formerly the Google Self-Driving Car Project.
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