Software Engineer Intern - Mapping and Generative AI

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.