Image and Data Processing Libraries Intern

The role of an Image and Data Processing Libraries Intern at NVIDIA involves contributing to the development and enhancement of GPU and CPU accelerated software libraries. These libraries are crucial for powering AI, data analytics, image processing, computer vision, and scientific simulations for both commercial and academic organizations globally. The intern will work on extending existing libraries and creating new ones for various applications, including AI, HPC, and medical fields. The main day-to-day responsibilities include collaborating with team members and partners to understand software use cases and requirements. The intern will research, analyze, and document state-of-the-art algorithms, develop algorithms for image and data compression and processing, and analyze and improve the performance of existing implementations. This role also involves implementing new algorithms, defining APIs, and finding solutions for numerical corner cases. To qualify for this internship, candidates must be pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or a related field. Essential skills include programming in C/C++ and Python, as well as experience in parallel or GPU programming using technologies like AVX, NEON, OpenMP, MPI, CUDA, or OpenCL. Experience with image coding formats such as jpg and tiff, and data compression algorithms like LZW and DEFLATE, is also required. Nice-to-have skills include knowledge of image processing algorithms, performance analysis, and test design. Familiarity with floating-point arithmetic internals and numerical error analysis can also be beneficial. The internship offers a hybrid work environment and the opportunity to work with some of the most forward-thinking and hardworking professionals in the technology industry. NVIDIA values diversity and is an equal opportunity employer. What the role asks for: - Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or a related field. - Programming skills (C/C++, Python) - Parallel or GPU programming experience (AVX, NEON, OpenMP, MPI, CUDA or OpenCL) - Experience with image coding (jpg, tiff, etc) - Experience with data compression algorithms (LZW, DEFLATE, etc)