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As a Software Engineer on the Mapping team at Waymo, you will develop backend infrastructure for map data, improve tools for viewing/editing maps, and scale systems for global mapping.

The role involves working on left-hand driving capabilities, evaluating limited data logs, and supporting cross-team architecture for trajectory planning.

As a Machine Learning Engineer on the Mapping team, you'll build backend systems for map data, apply ML to generate maps, and enhance internal tools.

Develop signals for reliability issues, root cause bugs, extend discovery pipelines, collaborate across teams, and improve issue resolution processes.

Join Waymo's Simulator Team to develop ultra-realistic sensor data and perception simulation for autonomous vehicles using advanced ML technologies. Collaborate with foundational AI research teams and drive innovation in simulation realism.

Analyze and optimize compiler performance, implement optimizations, collaborate on hardware/software design, and improve ML model inference efficiency.

Develop and lead sensor simulation technologies for autonomous vehicles, collaborating across teams to enhance simulation capabilities using advanced machine learning techniques.

Lead VRU understanding modeling efforts using ML techniques while mentoring a team and enhancing perception systems across multiple vehicle platforms.

Drive advancements in Waymo Driver fault capabilities, develop verification plans, analyze subsystem interactions, and lead cross-functional projects.

As a Software Engineer on the ML Platform team, you will design scalable data infrastructure to support ML model training, collaborate on data management, and enhance pipelines.