Applied Simulation Research Intern, Autonomous Driving - Summer 2024
Taiwan, Taipei
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.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.
Tags: Autonomous Driving Computer Science Computer Vision Deep Learning Engineering Generative AI ICML Linux Machine Learning Mathematics NeurIPS Open Source Python PyTorch Research Statistics
Perks/benefits: Conferences
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