NVIDIA is searching for an outstanding PhD intern working on efficient deep learning to join the learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and finetuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.What you'll be doing:Research, design and implement novel methods for efficient deep learning.Publish original research.Collaborate with other team members and teams.Work with product groups to transfer technology.Collaborate with external researchers.What we need to see:Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.Background in pruning, quantization, NAS, efficient backbones, and so on.Experience with large language models and large vision-language models is a plus.Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.Outstanding research track record.Excellent communications skills.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. ​NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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