Software Engineer, AI Mapping - Autonomous Vehicles

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 graphs
+ Implement evaluation frameworks to measure performance of large scale LLM’s
+ Design and develop algorithms for map-based driving products
+ Analyze and fine-tune SOTA pretrained models on domain specific datasets
+ Implement visualization tools for graph mining for navigation maps
+ Integrate graph-structured data with for foundation generative AI models



What We Need To See:
+ PhD/Master’s degree in Computer Science, AI, Applied Math, or related field with 3+ years of industry/research experience
+ Strong mathematical fundamentals and AI/DL algorithms skills or experience
+ Experience with AI/DL Frameworks (PyTorch, Tensorflow, TensorRT etc.)
+ Proven skills in programming, debugging, performance analysis, test design, and documentation



Ways 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-training
+ Published 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!