This session explores how generative AI can accelerate the development of software-defined vehicles by enhancing customer experience and streamlining the software engineering lifecycle. We'll focus on utilizing NVIDIA's NeMo framework to fine-tune large language models with automotive-specific datasets. These models are deployed using NVIDIA NIM microservices for inference, facilitating rapid feature development and deployment. Additionally, we’ll delve into the evaluation process of test case generation, providing insights into how the effectiveness and accuracy of generated test cases are assessed. The session will also include an overview of an advanced generative AI suite designed to manage the increasing complexity of vehicle software. This suite ensures faster and more efficient delivery of automotive features, ranging from basic vehicle body software to advanced autonomous driving software.