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Senior High Performance ML Computing Engineer

Apply Now Job ID: R0000010143 Date posted: 08/13/2019 schedule: Full time Location: 100 Mathilda Pl, Sunnyvale, California, United States, 94086;


The High-Performance ML Computing Engineer will design and develop parallel computing algorithms for solving very large machine-learning problems on heterogenous hardware platforms.


  • Design and develop parallel computing algorithms
  • Research new parallelization paradigms for NNs


  • BS, MS or PhD degree in Computer Science, Electrical Engineering or Computer Engineering
  • Understanding of computer, processor architecture
  • Understanding of shared-memory multiprocessor, multi-core programming
  • In-depth understanding of parallelization paradigms
  • In-depth understanding of Convolutional Neural Networks
  • In-depth understanding of TensorFlow
  • In depth understanding of Data and Model parallelism with Tensorflow
  • Understanding of Operating system kernels
  • Understanding of machine-level architecture and programming
  • Understanding of computer performance, benchmarking, latency, throughput
  • Expert-level knowledge of C (or C++).
  • Ability to analyze systems at all levels
  • Ability to make decisions based on strict scientific analysis
  • Outstanding communication skills
  • Ability to create, innovate, think out-of-the box
  • Understand application/software development and design.
  • Collaborative personality, able to engage in interactive discussions with the rest of the team

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and Los Angeles Fair Chance Ordinances.
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  • Technology and Data Sciences, Sunnyvale, California, United StatesRemove


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