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Develop deep learning models for autonomous vehicle trajectories using imitation and reinforcement learning. Collaborate with cross-functional teams to enhance vehicle behavior.

Lead the Perception team to enhance AI capabilities for dynamic object detection using sensor data, focusing on building robust algorithms and managing cross-functional collaborations.

Lead data analysis and collision injury modeling to enhance safety benchmarks for autonomous driving at Zoox, collaborating with cross-functional teams.

Develop deep learned models and collaborate on generating driving plans for autonomous vehicles, employing imitation and reinforcement learning techniques.

Lead Progress Metrics initiatives, analyze data for trends, guide teams to achieve milestones, and ensure metrics reliability. Collaborate with cross-functional teams and present insights to executives.

As a System Safety Engineer Intern, you'll support safety analysis for autonomous vehicles, require strong software or data analysis skills and help enhance safety and operational processes.

As a Core Software Systems Intern, you'll work on robotics software development, focusing on middleware, diagnostics, and performance for autonomous vehicles.

Manage a sub-team focused on offline systems for on-vehicle software. Oversee strategic planning, delivery of technical goals, and mentor team members.

The Software Engineer will develop tools and infrastructure for safety-critical software, collaborating with multifaceted teams to enhance development processes.

The Executive Assistant will support the Hardware team, manage complex scheduling, coordinate projects and events, and handle confidential information adeptly.