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    Senior Performance Software Engineer, Dl Libraries @ - Warsaw, Polska - Nvidia

    Nvidia
    Nvidia Warsaw, Polska

    1 tydzień temu

    Default job background
    W pełnym wymiarze godzin
    Opis

    We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs.

    The team delivers high-performance code to NVIDIA's cu DNN, cu BLAS, and Tensor RTlibraries to accelerate deep learning models.


    The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing.


    Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence We're always striving for peak GPU efficiency on current and future-generation GPUs.


    To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA's Tensor Cores with CUDA.


    This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.


    ___ With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers.


    Our diverse team of talented, capable, and professional people is our greatest asset If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you We are an equal opportunity employer and value diversity at our company.


    We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


    JR What we need to see: Ph D degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field or a Bachelors or Masters degree plus 4-6 years of equivalent 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 Open MP 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/Open CL GPU programming Numerical methods and linear algebra LLVM, TVM tensor expressions, or Tensor Flow MLIR

    We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs.

    The team delivers high-performance code to NVIDIA's cu DNN, cu BLAS, and Tensor RTlibraries to accelerate deep learning models.


    The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing.


    Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence We're always striving for peak GPU efficiency on current and future-generation GPUs.


    To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA's Tensor Cores with CUDA.


    This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.


    ___ With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers.


    Our diverse team of talented, capable, and professional people is our greatest asset If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you We are an equal opportunity employer and value diversity at our company.


    We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    JR ,[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] Requirements: C++, Open MP, pthreads, BLAS, CUDA, Open CL, LLVM, TVM, Tensor Flow MLIR Additionally: Sport subscription, Training budget, Private healthcare, Lunch card, International projects, Small teams, Free coffee, Free snacks, Free beverages, Modern office, No dress code.
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