Senior Software Engineer (Mapping Data & Eval)
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Salary
$213k – $263k per year
Location
Hybrid (Mountain View, San Francisco, United States)
Seniority
Senior
Visa
H-1B filings in 12 months: 331 · for this role: 234 · green card filings: 28
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 25, 2026. Waymo scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.
Backed by Bessemer Venture Partners, Sequoia Capital, Kleiner Perkins
Join Waymo, the leading autonomous driving technology company. As a Senior Software Engineer on the Roadgraph team, you will play a crucial role in building the intelligent platform and automated pipelines that create, validate, and scale the high-definition geo knowledge base powering the Waymo Driver. You will work on all aspects of the modeling life cycle, evaluate and launch machine learning models, and build backend infrastructure for storing and processing map data. This position offers competitive compensation, comprehensive benefits, and a hybrid work model.
Missions
- Concevoir et mettre en œuvre des modèles d'apprentissage automatique appliqués, des moteurs d'évaluation et des infrastructures de données à grande échelle pour transformer les flux de capteurs réels en une base de connaissances spatiales précise.
- Collaborer avec les équipes embarquées pour résoudre des problèmes de manière globale, en travaillant sur tous les aspects du cycle de vie de la modélisation, de l'étiquetage à l'inférence.
- Évaluer et lancer des modèles d'apprentissage automatique qui génèrent automatiquement des cartes à partir de données brutes, et appliquer une analyse statistique pour valider les changements à grande échelle.
Profil recherché
- Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of ML models or data pipelines- Experience building scalable data processing pipelines using distributed frameworks like Google Data Flow or Apache Beam
- Demonstrated ability to take ownership of complex technical problems end-to-end and deliver measurable results in a collaborative team environment
- B.S. in Computer Science or a similar technical field, or equivalent practical experience
- A passion for good software engineering
- Master’s or Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field
- Experience with high-performance computing, C++ optimization, and large-scale distributed systems architecture
- Domain familiarity with autonomous vehicles, robotics, high-definition (HD) mapping or GIS/spatial databases
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