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This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

Lead a team to develop LLM/VLM solutions for autonomous driving, define improvement strategies, and collaborate across teams.

Interns will debug ML model performance, add new features, and modify data pipelines and model architecture. Experience with deep learning and Python is required.

Manage the roadmap and strategies for territory expansion at Waymo, focusing on improving tools and processes for autonomous driving solutions. Collaborate across teams to enhance product offerings and drive growth.

The Senior Security Engineer evaluates system elements for cybersecurity, conducts threat analysis, and collaborates on risk management throughout the product lifecycle.

The role involves managing and improving the Waymo simulator, enhancing usability, defining product strategies, and collaborating with engineering teams and users.

Develop high-quality C++ software systems for managing autonomous vehicle functions, analyze data, and participate in cross-functional workflows.

Interns will assist Global Supply Managers in analyzing supplier capacity data, gathering supplier demands, and identifying supply-demand gaps.

The intern will implement and debug C++ software for positioning algorithms, develop data analysis scripts, and participate in code reviews.

Interns will design hardware algorithms, develop proof-of-concept implementations, study trade-offs, and collaborate with ML model owners.