Fullstack Engineer, Waymo

• Bachelor’s degree in Computer Science or equivalent practical experience
• 3+ years of professional full-stack development experience, including backend (e.g., C++, Java/Kotlin, Go, Python) and frontend (e.g., TypeScript/JavaScript, HTML, CSS)
• Strong experience with modern web application development and frameworks (e.g., React, Angular, Vue)
• Demonstrated ability to design and build scalable, performant, and reliable web applications
• Experience with data visualization principles and libraries (d3, Plotly.js, Vega)
• Excellent communication skills and ability to collaborate effectively with diverse engineering teams

Desirable

• The Waymo Driver is one of the world's most advanced AI/ML systems
• To build it, our engineers need to see what the car sees
• The Visualization team builds the central platform and product that powers advanced visual debugging for the entire company
• We provide an extensible framework that allows teams across Waymo, from Perception to Planning, to integrate their own specialized visualizations directly into a unified environment
• Our product renders rich, time-synchronized, 4D (3D + time) data from on-vehicle logs, real-time streams, and simulations
• It handles massive datasets to provide interactive, high-performance visualizations in the browser
• In this role, you will contribute to the product and platform that underpins this ecosystem, enabling domain experts to build and plug in their own components
• Your work ensures that thousands of engineers, operators, and researchers have a scalable, performant application to diagnose issues and validate the Waymo Driver
• Design and optimize full-stack features for the platform that allow other teams to build custom visualizations within our environment
• Build performant user interfaces using modern web technologies (TypeScript, Angular, ThreeJS, WebGL) to visualize the internal state of our self-driving system
• Scale the backend systems and data pipelines, prioritizing reliability and the ability to handle diverse data types from different engineering teams
• Define and maintain the APIs and developer ergonomics that enable cross-functional partners to contribute features to the shared ecosystem independently
• Develop features that trace behavior across both onboard vehicle software and offboard analysis pipelines
• Create shared visualization libraries that standardize how AI/ML outputs are rendered across the company