NVIDIA is seeking passionate AI engineers to drive innovation in mapping for Autonomous Vehicles. End-to-end models are the future of Autonomous Driving, and maps provide a prior to these models. Your work will help shape the intelligence behind the next generation of self-driving vehicles.In this role, you will build state-of-the-art AI algorithms, focusing on Large Language Models (LLMs), Visual Language Models (VLMs), and graph-based deep learning. Hands-on expertise in generative AI frameworks and transformer-based models is key, with strong emphasis on applying this research to real-world mapping and navigation. Are you ready to challenge yourself to push boundaries of routing and navigation systems for self-driving cars? If yes, please come join us!What You'll Be Doing:Research, and develop transformer based models tailored for graphsImplement evaluation frameworks to measure performance of large scale LLM’sDesign and develop algorithms for map-based driving productsAnalyze and fine-tune SOTA pretrained models on domain specific datasetsImplement visualization tools for graph mining for navigation mapsIntegrate graph-structured data with for foundation generative AI modelsWhat We Need To See:PhD/Master’s degree in Computer Science, AI, Applied Math, or related field with 3+ years of industry/research experienceStrong mathematical fundamentals and AI/DL algorithms skills or experienceExperience with AI/DL Frameworks (PyTorch, Tensorflow, TensorRT etc.)Proven skills in programming, debugging, performance analysis, test design, and documentationWays To Stand Out From The Crowd:Familiarity with any navigation maps such as NDS.Live, Open Street Maps (OSM) etc.Hands-on experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)Exposure to large scale graph optimizations for AI-trainingPublished work for international relevant conferences (CVPR, NeurIPS, ICRA, etc).We believe that realizing self-driving vehicles will be a defining contribution of our generation. We have the scale, resources, and mission, but we need visionary engineers like you to make it happen. Join us and help achieve self-driving reality for everyone!