Development of highly automated and autonomous driving systems presents a massive data management and computational challenge that also impacts cost and time to market throughout the development cycle. Training, testing and validating self-driving systems requires large-scale deployment of compute, storage, and networking solutions to support the end-to-end workflow. Global presence and scale are prerequisites for properly developing, validating, and deploying these systems. AWS offers highly scalable solutions for autonomous vehicle development by providing architectures for data ingest, data management, labeling, map development, simulation, model training, and other key parts of the development process, along with strategies for cost optimization. By attending this session, attendees will learn how AWS can help streamline the autonomous vehicle development process, while also optimizing costs and time-to-market