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Nvidia Senior Performance Software Engineer Deep Learning Libraries 
United States, Texas 
838325763

24.06.2024

What you'll be doing:

  • Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)

  • Following general software engineering best practices including support for regression testing and CI/CD flows

  • Collaborating with teams across NVIDIA:

    • CUDA compiler team on generating optimal assembly code

    • Deep learning training and inference performance teams on which layers require optimization

    • Hardware and architecture teams on the programming model for new deep learning hardware features

What we need to see:

  • Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field

  • 6+ years of relevant industry experience

  • Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design

  • Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)

  • Solid understanding of computer architecture and some experience with assembly programming

Ways to stand out from the crowd:

  • Tuning BLAS or deep learning library kernel code

  • CUDA/OpenCL GPU programming

  • Numerical methods and linear algebra

  • LLVM, TVM tensor expressions, or TensorFlow MLIR


You will also be eligible for equity and .