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NVIDIA

Software Engineer, AI Mapping - Autonomous Vehicles

Posted 7 Days Ago
Be an Early Applicant
In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
Develop AI algorithms for Autonomous Vehicles, focusing on transformer models and graph-based deep learning for mapping and navigation.
The summary above was generated by AI

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!

Top Skills

AI
Deep Learning
Large Language Models
PyTorch
TensorFlow
Tensorrt
Visual Language Models

NVIDIA Pune, Mahārāshtra, IND Office

Survey No.144 145, Commerzone No.5, Off, Airport Rd, Yerawada, Pune, Maharashtra, India, 411006

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