CUDA Math Libraries Intern - 2026
NVIDIA(1 month ago)
About this role
Software engineering intern working on accelerated mathematical and data-processing libraries (e.g., cuBLAS, cuSparse, DALI) that are core to high-performance computing and deep learning software stacks. The role is part of a team developing and extending libraries used in AI, HPC, quantum computing, and computer vision. Interns collaborate with senior engineers and contribute to library functionality and performance improvements.
Required Skills
- C++
- Python
- GPU Programming
- Parallel Programming
- CUDA
- OpenCL
- MPI
- Performance Analysis
- Algorithm Development
- Numerical Analysis
Qualifications
- MS in Computational Science or related field
- PhD in Computational Science or related field
- MS in Computer Science or related field
- PhD in Computer Science or related field
- MS in Applied Mathematics or related field
- PhD in Applied Mathematics or related field
- MS in Engineering or related field
- PhD in Engineering or related field
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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