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Senior Software Engineer, Eval Efficiency & Optimization

Waymo · Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA

hybridsenior$213,000–$213,000Posted Oct 2, 2026PythonSQLC++Machine LearningStatistics

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About this role

**Waymo — Senior Software Engineer, Eval Efficiency & Optimization** Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can be applied to a range of vehicle platforms and product use cases. 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 evaluation challenges, while providing rigorous mathematical and experimental proof of correctness and statistical efficiency. **You will:** - Tackle ill-defined, ambiguous problems and reduce complex systems into tractable quantitative models. - Develop statistical techniques that enable evaluation pipelines to deliver better signals with fewer resources. - Design and build automation to enhance the efficiency and scalability of evaluation infrastructure. - Collaborate with engineers, data scientists, product managers, and leadership to deliver evaluation products and support 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 implementing statistical, ML, and general mathematical algorithms for large datasets. - Experience adapting techniques from research papers to applied problems. - Strong self-motivation and comfort with ambiguity to navigate complex systems and complete open-ended work. - 3–5 years of experience with: - Navigating and modifying a large code base containing 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. **Compensation (US):** - Expected base salary range: **$213,000 — $263,000 USD** - Eligible for discretionary annual bonus, equity incentive plan, and generous company benefits (subject to eligibility requirements).

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