ML Hardware Developer

Huawei
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Job Description

  • Develop deep learning applications for resource-constrained devices using compression techniques.
  • Perform research in deep learning in collaboration with university.
  • Supervise / co-supervise undergraduate or graduate university coop interns along with our partner university professors.
  • Evaluate effect of hardware resource constraints on deployed deep learning applications, and propose alternative solutions.
  • Contribute to internal deep learning frameworks.
  • Design and build deep learning prototypes, proof of concepts and demos of deep learning applications and hand to to Huawei product teams.

Qualifications

  • PhD or Master’s degree?in computer hardware,? electrical engineering, or a related fields.
  • Demonstrated ability to build deep learning applications using Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Thorough understanding of deep learning foundations and training tricks.
  • Experience with neural network compression (i.e. quantization, pruning) is an asset.
  • Experience optimizing performance-critical applications for target hardware devices (i.e. CPU/GPU).
  • Understanding of computer architecture limitations (i.e. memory hierarchy and bandwidth, low-bit computation, etc).
  • Knowledge of low-level mobile programming (i.e. ARM, GPU and/or DSP programming) an asset.

Company Info.

Huawei

Huawei is a Chinese multinational technology corporation headquartered in Shenzhen, Guangdong province. It designs, develops, manufactures and sells telecommunications equipment, consumer electronics, smart devices and various rooftop solar products. Huawei has deployed its products and services in more than 170 countries and areas.

  • Industry
    Telecommunications,Artificial intelligence,Cloud computing,Semiconductors,Consumer electronics,Internet of things
  • No. of Employees
    194,000
  • Location
    Shenzhen, Guangdong Province, China
  • Website
  • Jobs Posted

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