Software Engineer, AI Mapping - Autonomous Vehicles

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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!
JR2003652

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