Reserch Staff Member Acceleration of Big Data/Machine Learning

Research on Acceleration of Big Data/Machine Learning workloadsThe job role is centered around the acceleration and scale-out of machine learning and big data workloads from science and engineering leveraging GPUs and other high-performance architecture support. The candidate will be working with a team in Yorktown to select key machine learning workloads from the life science and engineering domain and enabling scale-out and acceleration. This work will involve enhancement of applications, libraries and/or frameworks (such as Apache Spark MLlib, Theano, Caffe, Torch) for acceleration.The candidate should have familiarity and experience with some of the following topics: Distributed computing Machine learning and machine learning frameworks (Theano, Caffe, Torch) High performance computing paradigms (MPI, OpenMP) GPU acceleration (CUDA) Big Data frameworks (Apache Spark)


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