Senior Software Engineer, Waymo

• Proven experience building and scaling high-performance offboard infrastructure for critical services, such as location, routing, or trip planning
• A strong background in machine learning pipelines, including feature engineering and integrating ML models into high-volume production environments
• Experience designing and implementing robust, reliable APIs for core geospatial or logistics services
• Proficiency in data analysis and monitoring to establish system observability and identify anomalies and customer pain points (e.g., through event logging)
• Expertise in developing systems for demand control, traffic shaping, or congestion management within a large-scale service environment
• Demonstrated background in refactoring large, complex backend services to improve system architecture, maintainability, and diagnostic capabilities

Desirable

• The Pin Infrastructure team builds the infrastructure to ensure Waymo customers get picked up and dropped off at the right locations. As we rapidly expand, each new city introduces unique challenges that must be addressed to create a delightful user experience
• Collaborate with Machine Learning (ML) teams to integrate new location selection models and phase out legacy heuristic ranking systems to improve pin quality
• Centralize critical location logic, such as estimated time of arrival (ETA) calculation and venue validation, into a core API to ensure consistency and improve service reasoning
• Design and implement scalable solutions for managing congestion, particularly for delivery services, to move beyond static location management
• Develop and deploy geo-fencing and demand control mechanisms to precisely manage Pick-up and Drop-off (PUDO) behavior across new operational areas
• Build advanced tooling, dashboards, and monitoring systems to debug location selection decisions and proactively identify customer pain points (e.g., long walking distances or high failure rates)
• Refactor and simplify complex backend logic within the core trip planning service to improve maintainability and enable clear explanation of location selection decisions