Image and Data Processing Libraries Intern

The role of an Image and Data Processing Libraries Intern at NVIDIA involves contributing to the development of GPU-accelerated libraries used in various industries, including healthcare, VR, and autonomous vehicles. NVIDIA is a leading company in the field of AI, scientific and engineering simulations, and data analytics, and this internship offers the opportunity to work on groundbreaking software libraries that are used globally. The main day-to-day responsibilities include collaborating with team members to understand software use cases and requirements, researching and analyzing state-of-the-art algorithms, and developing algorithms for image and data compression and processing. Additionally, the intern will be involved in analyzing and improving the performance of existing implementations, defining APIs, and finding solutions for numerical corner cases. The intern will work closely with senior software engineers who will provide mentorship and guidance. To qualify for this role, candidates must be pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or a related field. Essential skills include programming in C/C++ or Python, and experience with parallel or GPU programming (AVX, NEON, OpenMP, MPI, CUDA, or OpenCL). Experience with image coding (jpg, tiff, etc.) or data compression algorithms (LZW, DEFLATE, etc.) is also required. Nice-to-have skills include knowledge of image processing algorithms, performance analysis and test design skills, and familiarity with floating-point arithmetic internals and numerical error analysis. The internship is based in Poland, and NVIDIA is known for its diverse and inclusive work environment, valuing creativity and autonomy. The annual pay range for interns in Poland is 117,750 PLN to 204,100 PLN, pro-rated for the duration of the internship. 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) or data compression algorithms (LZW, DEFLATE, etc)