Will develop software to represent and map customer workloads and algorithms to custom hardware including but not limited to advanced programming in domain-specific language (TensorFlow, Caffe, etc.) using various software libraries and programming aids specific to that language; create dummy data sets used to train and exercise the model; debug the model created in that language; modify the model as necessary to reflect expected or projected customer usage; and map the model onto company developed hardware and use company developed compilation tools; develop software tools to measure and optimize performance of the software and hardware system by using code profiling tools such as GProf or other similar tools.
A Master's degree in Computer Science or Electrical Engineering and Computer Sciences or Electrical and Computer Engineering or Electrical Engineering (Machine Learning and Data Science) or Computer Science and Engineering is required.

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