Join our dynamic team at NVIDIA as an AI Intern, where you'll contribute to revolutionizing the future of mapping technology. Our team is dedicated to enhancing map-making throughput, improving cost efficiency, and exploring new paradigms in map applications. We specialize in high-definition (HD) maps, standard-definition (SD) maps, and crowdsourced mapping solutions. This internship offers a unique opportunity to work with cutting-edge technologies in computer vision, deep learning, and generative AI.
What You'll Be Doing:
Enhance Mapping Throughput: Assist in developing AI-driven solutions to increase the efficiency and speed of map creation processes.
Optimize Map-Making Efficiency: Collaborate on projects aimed at making map production more cost-effective through automation and advanced algorithms.
Explore New Map Applications: Work on innovative projects that extend the use of maps into new application areas using generative AI and multi-modal models.
Integrate Vision-Language Models: Support the integration of vision-language models to enhance map data interpretation and usability.
Contribute to Multi-Modality Models: Help build models that leverage diverse data types for comprehensive mapping solutions.
Participate in Research and Development: Engage in research activities to explore new methodologies in computer vision and deep learning relevant to mapping technologies.
What We Need to See:
Educational Background: Currently pursuing a degree in Computer Science, Generative Artificial Intelligence, Machine Learning, or a related field.
Technical Skills: Familiarity with Python, C++ and machine learning frameworks like PyTorch or Tensorflow. Strong background in computer vision and deep learning with demonstrated publication or project records
Analytical Skills: Strong problem-solving abilities with a logical approach to tackle complex challenges.
Interest in Mapping Technologies: Enthusiasm for learning about HD maps, SD maps, and crowdsourced mapping techniques.
Ways to Stand Out from the Crowd:
Project Experience: Experience with projects involving generative AI or multi-modal systems is a plus.
Innovative Thinking: Demonstrated creativity in applying AI technologies to real-world problems.
Team Collaboration: Ability to work effectively within a team environment, contributing ideas and supporting team goals.
Last updated: 23 hours ago
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