NVIDIA is seeking deep learning research / engineering interns to join the AV perception research team. As an intern, you will conduct applied research related to one of the meaningful research topics mainly related to perception for autonomous driving. You may also have the opportunity to publish in premier conferences in the fields of Machine Learning and perception.

　　In order to scale-up current AI-algorithms, we need to learn from datasets orders of magnitude larger than existing ones which is a very challenging task. Our team at NVIDIA is dedicated to developing new algorithms to explore the vast amount of collected data to improve AI-based applications such as AV.

　　This includes research areas such as:

　　Efficient data selection to improve learning and scaling-up training sets including active learning and mining strategies.

　　Network interpretability to predict network failures and to design novel algorithms to continuously learn from data and from failures.

　　Efficient training and inference to minimize training time and enable inference in embedded platforms.

　　Synthetic to real domain adaptation.

　　What you'll be doing:

　　You will be responsible for conducting applied research to advance the performance of our codebase applied to perception for autonomous vehicles. Research is done in areas related to large scale learning including semi-supervised deep learning, active learning, deep network architecture search, parameter optimization and modeling, domain adaptation, or life-long learning. You may have opportunities to influence the progress of the field by producing publications.

　　Contribute to integrating novel algorithms into core applications to enable a better generation of autonomous vehicles, coding in Tensorflow to facilitate the integration into our codebase.

　　Collaborate and increase the performance of existing perception-based systems for AV.

　　What we need to see :

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

　　Expertise in Computer Vision and Deep Learning.

　　Strong mathematical background and ability to analyze results.

　　Excellent Tensorflow and python programming skills to bring ideas into production systems.

　　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:

　　Currently enrolled in a Ph.D. program in CS or Math.

　　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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

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