Senior Software Engineer, Pin Infrastructure at Waymo

Waymo

Mountain View, California; San Francisco, California·3h ago

SeniorFull-timeRustMachine LearningAPIML

Salary Range

$132,600 - $179,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Software Engineer to join the Pin Infrastructure team at Waymo, an autonomous driving technology company. This role focuses on building the infrastructure to ensure Waymo customers get picked up and dropped off at the right locations, addressing unique challenges in each new city to create a delightful user experience.

Key Responsibilities

→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.

Requirements

✓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.