Deep Learning Computational Graph Engineer
What you will be working on:
• Compilation of deep learning model descriptions in multiple frameworks into efficient code for execution in a variety of environments
• Intermediate representations and APIs to allow new frameworks and environments to be defined
• Collaborating with or working directly on data science, compilers, cloud software, distributed systems, system software, QA, technical writing
• Making a variety of machine learning hardware platforms more efficient and easier to use
Who we are looking for: • Bachelor's, Master's, or Ph.D. in Computer Science or Computer Engineering • Comfortable manipulating representations of programs • 5 years developing commercial quality system software, e.g. compilers, debuggers, profilers • 1 years of experience with one or more deep learning frameworks such as neon, TensorFlow, Caffe2, CNTK, or Torch • Strong programming skills in C , familiarity with Python preferred • Experience with LLVM, HPC, MPI, distributed systems, MKL, MKL-DNN, CUDA, cuDNN, nervanaGPU is preferred
US, California, San Diego;
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A little about us:
Our vision is simple and direct. If it computes, it does it best with Intel. We embrace all aspects of computing.