Around the world, leading commercial and academic organizations are using GPU to redefine AI, scientific and engineering simulations, and data analytics. Did you know that the GPU accelerated libraries developed by NVIDIA are used in such industries such as healthcare, VR, autonomous vehicles, social media, and e-commerce? If the idea of contributing to these excite you, come join our team and help us build accelerated software libraries which are used by the entire world.

In this role you will be part of our team responsible for the development of libraries that provide groundbreaking functionality and performance. The internship may include extending the capabilities of existing as well as building new libraries that will be used in various AI and HPC applications. It will involve working with senior software engineers who will provide mentorship and guidance.

The project will include implementing new image and data processing algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.
 

• Collaborating with team members and other partners to understand software use cases and requirements.
• Research, analyze, and document state-of-the art algorithms
• Develop algorithms for image and data compression and processing
• Analyze and improve performance of existing implementations

​What we need to see:

• Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or 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)

• Knowledge of image processing algorithms
• Performance analysis and test design skills
• Familiarity with floating-point arithmetic internals and numerical error analysis.