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The role involves developing simulation solutions and orchestration systems for autonomous driving, requiring deep engagement with C++ code, collaboration across teams, and solving complex technical challenges.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.

The role involves improving backend web services for driving simulation, enhancing tools for managing embedded hardware, and optimizing simulation efficiency.

Lead technical strategy for iOS platform, build key infrastructure, ensure engineering excellence, and mentor senior engineers.

Manage complex multidisciplinary projects, identify gaps, implement scalable solutions, and drive system engineering processes from design to testing.

Lead troubleshooting and integration of software and electrical automotive systems with OEMs, contributing to integration strategy and providing onsite support for early program activities.

Lead full-vehicle mechanical integration of WaymoDriver from concept to production. Define mechanical interface requirements, manage integration roadmaps, drive CAD/DMU strategies, oversee EBOM/PLM releases, and execute virtual-to-physical build events while aligning cross-functional and OEM partners.

Develop GPU primitives, manage performance on new platforms, collaborate on SoC projects, and enhance CI/CD testing for GPUs.

Define and implement a vision for Waymo's DevAI platform, leading cross-functional teams to integrate AI into developer workflows and ensuring alignment with corporate strategy.

Lead lifecycle and CRM marketing programs across email, push, and in-app channels to drive engagement, retention, and LTV. Build audience segmentation and personalization, develop brand-aligned content, partner with Product and Data Science, measure campaign impact, and manage technical campaign setup and creative assets.