Deep Learning Engineer

About Lightelligence:

  • Lightelligence develops optical computing platforms for high-performance computing tasks. By processing information with light, our custom chips potentially offer orders of magnitude improvement in latency and low power consumption compared to traditional electronic architectures. 

  • If you’d like to build computational machines that are solving problems in ways that have never been done, we’re looking for a deep learning engineer with strong software skills for building and training application specific models based on Optical Processing Unit (OPU) accelerators.

What you'll do at Lightelligence:

  • Build OPU accelerator SDK, including operation library, compiler, etc. 
  • Implement ML inference techniques such as quantization, compression and calibration, working closely with machine learning scientist. 
  • Participate in the system architecture design, working closely with electrical engineers.

Essential aspects of this role:

  • Highly proficient in deep learning frameworks, e.g. Tensorflow, etc. 
  • Substantial experience with Python and C++ 
  • Experience with software testing and building robust software systems 
  • Experience in compilers, e.g. LLVM 
  • Understanding of the different machine learning accelerator architectures, e.g. GPU, ASIC, FPGA 
  • Master’s in computer science or related fields (exceptional Bachelor’s degree candidates will be considered) 
  • 2+ years of experience in machine learning

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