Introduction:

NVIDIA, a global leader in accelerated computing and AI, is seeking passionate software engineers for its Autonomous Vehicles division. This team is at the forefront of driving innovation in AI-based mapping and navigation systems for self-driving vehicles. Engineers in this role will focus on developing and deploying state-of-the-art AI algorithms, including Large Language Models (LLMs), Visual Language Models (VLMs), and graph-based deep learning solutions, catering to real-world problems in autonomous navigation.

Key Responsibilities:

• Research and develop transformer-based models optimized for graph data structures
• Build evaluation frameworks for large-scale LLMs in mapping domains
• Design and enhance algorithms for map-based autonomous driving products
• Fine-tune and implement state-of-the-art models on domain-specific datasets
• Develop visualization tools for graph mining utilized in navigation maps
• Integrate graph-structured data with foundation generative AI models

Key Technical Skills:

Large Language Models (LLMs), Visual Language Models (VLMs), PyTorch, TensorFlow, Transformer Models, Generative AI, Graph Deep Learning, Python, Performance Optimization, Map Navigation AI

Requirements:

• PhD or Master’s in Computer Science, AI, Applied Math, or related fields with 3+ years’ experience
• Expertise in mathematical fundamentals, AI/deep learning algorithms (frameworks: PyTorch, TensorFlow, TensorRT)
• Hands-on skills in programming, debugging, and performance analysis
• Experience with LLMs, VLMs, and transformer models for mapping/navigation is highly desirable
• Strong background with multimodal generative AI and graph-based deep learning
• Familiarity with navigation maps (NDS.Live, OpenStreetMaps), graph optimization, and published research is a plus