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.
The ideal candidate should exhibit the following behavioral traits: - Problem-solving skills - Ability to multitask - Strong written and verbal communication skills - Ability to work in a dynamic and team oriented environment You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Minimum Qualifications: Candidate pursuing a Bachelor's, Master’s or PhD in Computer Science, Computer Engineering or any related fields. Bachelors applicants must have a legal right to work in the US without sponsorship. Experience of 1+ years in the following areas: • Developing commercial quality system software, e.g. compilers, debuggers, profilers. • Experience with one or more deep learning frameworks such as neon, TensorFlow, Caffe2, CNTK, or Torch. • Programming skills in C++, familiarity with Python preferred. Preferred Qualifications: • Comfortable manipulating representations of programs • Experience with LLVM, HPC, MPI, distributed systems, MKL, MKL-DNN, CUDA, cuDNN, nirvana GPU.
US, Arizona, Phoenix; US, Oregon, Hillsboro; US, California, San Diego;