NVIDIA is hiring highly talented computer science students to join the Compute Developer Technology team and explore GPU-accelerated computing across deep learning, AI, and HPC. You will work on developing techniques to accelerate applications on modern GPU architectures with a focus on performance and scalability.
The role emphasizes collaboration with architecture, libraries, and tool teams and requires strong mathematical and programming foundations.
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The following opening is for a GPU Compute DevTech Intern: HPC & Parallelization with NVIDIA Corporation.
This role, GPU Compute DevTech Intern: HPC & Parallelization at NVIDIA Corporation, could be your next career step.
Are you ready to take on the GPU Compute DevTech Intern: HPC & Parallelization role at NVIDIA Corporation?
We would love to welcome a new GPU Compute DevTech Intern: HPC & Parallelization to our group in West of England, England, United Kingdom.