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Analyze fault logs for the Waymo Driver, define qualification strategies, prioritize improvements, and execute tests for automotive systems.

Design and improve data pipelines, maintain data flows, apply ML techniques for data curation, and collaborate across teams.

Improve distributed input data pipelines for large-scale ML training workloads, collaborating with researchers to enhance data processing systems and implement advanced ML infrastructure tools.

Lead technical efforts on sensor integration and perception systems, ensuring high performance and reliability in autonomous vehicle technology.

The Brand Lead will shape Waymo's international brand identity, develop go-to-market strategies, and manage collaborations for market launches globally.

Collaborate with multiple teams to simulate silicon designs for validation, design emulation testbenches, and assist in post-silicon bring-up and debug.

Lead the development and improvement of simulations for the Waymo Driver by collaborating closely with engineers, enhancing performance, and scaling architecture.

Interns will develop compiler optimization techniques for ML models, prototype programming interfaces, and implement solutions in C++ and Python.

Manage a team to verify the perception stack of autonomous vehicles, improve testing tools, and maintain stakeholder relationships.

Develop metrics and models for performance and safety of self-driving systems, integrate metrics into fleet data, and communicate model benefits.