Data Infra Engineer

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.

This role follows a hybrid work schedule.

You will:

• Design, develop, and maintain high-throughput distributed backend components and services (C++, Flume/Apache Spark/Flink/Beam) powering Waymo's Commercialization Data Lake.
• Own the scalable ingestion of data from raw system telemetry and RPC logs, processing petabytes of logs into reliable, daily canonical base tables.
• Build, harden, and democratize Data Pipeline Services, offering standard templates and self-service gateways for downstream consumption.
• Implement foundational compliance, privacy, and security infrastructure (e.g., GDPR wipeout, ACL management, BCID enforcement, and identity proxies).
• Establish rigorous operational standards, guarding pipelines with regression tests, staging environments, Canary/Progressive rollouts to defend high SLO.
• Collaborate with Data Engineers and Product Data Scientists to set global platform consistency, dependency tracing, and linear DAG architecture guidelines. You have:
• BS/MS in Computer Science, Computer Engineering, or equivalent.
• 4+ years of professional backend software engineering experience, focused heavily on distributed systems, databases, and production monitoring.
• Excellent understanding of data structures, algorithms, and fundamental software design principles.
• Advanced proficiency in C++ and SQL applied to high-throughput batch and streaming processing pipelines.
• Prior experience running data pipelines through hardened release setups (Canarying, Staging environments, Automated Rollbacks). We prefer:
• Extensive experience with distributed processing frameworks (e.g., Spark, Flink, Beam, Hadoop, Flume, or equivalent large-scale processing engines).