Within the scope of 6G research, digital twins are expected to be an important catalyst for innovation, especially for efforts aimed at showing how machine learning can improve the performance of cellular networks. NVIDIA is creating a best-in-class digital twin to support 6G research and the exploration of algorithms based on machine learning and data. Within the scope of the internship, the candidate will be joining a group of experts and play a key role in contributing to the integration of learning frameworks into NVIDIA's digital twin. This will provide the ideal candidate with an intimate understanding of how algorithms for the AI-native cellular networks of the future will be developed and validated.What you’ll be doing:Integrate ML framework (e.g., PyTorch, TensorFlow) into NVIDIA's digital twinDesign key ML-algorithms for wireless systemsTrain and analyze the performance of the designed key-ML algorithmsWhat we need to see:Pursuing a Master or PHD Degree in either Electrical Engineering or Computer ScienceGood familiarity with Python and C++ programmingFamiliarity with supervised learning / and frameworks for supervised learning (e.g., Pytorch, Tensorflow)Passion to learn and improve people’s lifestyle through new technology deploymentWays to stand out from the crowd: Good knowledge of digital signal processingExperience with learning-based regression problemsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most expert and versatile 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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