We are now looking for Software Engineer Interns to join NVIDIA medical imaging AI group. You work with a team of deep learning scientists and engineers to create platforms to empower a broad range of AI-based applications for healthcare. What you'll be doing:Create innovative workflows to speedup training data creation and model training.Develop core libraries to support vertical specific AI solutions.Contribute to open source deep learning communities.Learn the latest technology in deep learning, GPU acceleration and distributing computing.What we need to see:BS/MS/PhD student in Computer Science, Electrical Engineering or a related fieldExcellent at Python and/or C/C++ programming and software design.Advanced knowledge and development experience of common deep learning frameworks and packages (Tensorflow, PyTorch, etc.).Strong communication skills, you are organized and self-motivated, and a great teammate.Ways to stand out from the crowd:Distributed systems programming.GPU programming experience” CUDA, cuDNN, TensorRT, DALI.Experience with image processing or compression, or 3D image processing as well as medical imaging.Familiar with the essential tools: Docker, Kubernetes, and web technologies.Experience of developing GUI applications using QT and Visual C++. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our AI Infrastructure team and help build the real-time, cost-effective computing platform driving our success in the exciting and quickly growing field of AI.
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