NVIDIA Research Intern – Applied Simulation, Autonomous Driving

NVIDIA is seeking an applied research / engineering intern to join the Applied Simulation team to advance autonomous Driving. This role provides a unique opportunity to make algorithmic contributions to core products and apply their ideas at a very large scale to accelerate Autonomous Vehicles development. As an intern, you will conduct applied research related to real-to-synthetic domain adaptation , Neural Graphics, Generative AI and related fields. In order to scale-up current AV-algorithms, we need to learn from real datasets and create new synthetic datasets, orders of magnitude larger than existing ones which is a very challenging task. You may also have the opportunity to publish in premier conferences in the fields of Machine Learning and perception.

What you'll be doing:

• You will be responsible for conducting applied research in the domain of image generation, video generation, 3D generation using real-world datasets and evaluate and advance the performance of the NVIDIA DriveAV stack on such datasets.

• In addition to the research aspect, you will also be helping to make this work easily available to AV developers as an infrastructure service to develop new AV functionalities & capabilities.

• Collaborate with other research team members, a diverse set of internal product teams, and external researchers and have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups.

  What we're looking for:

• Pursuing MS, or Ph.D. in Computer Science, with a focus in Deep Learning, Artificial Intelligence or related fields.

• Hands-on coding skills with PyTorch, Python, C, C++ and Linux bash scripting expertise.

• Expertise in Computer Vision, Deep Learning and Simulation.

• Strong mathematical background and ability to analyze results.

• A dedication to bring your work to completion and see your work having a worldwide impact.

• A self-motivated and good teammate with good communication and social skills.

• Publication or experience in fields related to machine learning, analytics, large-scale systems, statistics, and mathematics.

  Ways to stand out from the crowd:

• First author publications in top-tier peer-reviewed conferences such as NeurIPS, ECCV, ICML, CVPR, ICCV.

• Research or software engineering experience confirmed via internships, relevant work experience or code competitions.

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