Sr. Deep Learning Hardware Engineer

  • Samsung Semiconductor, Inc.
  • San Jose, CA, USA
  • Nov 08, 2017
Information Technology

Job Description



Engineering - Hardware . San Jose, California


DSA31398

Samsung Semiconductor, Inc., located in San Jose, CA, is a world leader in Memory, System LSI and LCD technologies. The Advanced System Lab (ASL) is a small research and technology team developing architecture for next-generation proprietary embedded hardware neural network acceleration engines to accelerate a variety of neural network applications including speech, vision-related and ADAS. ASL researches and develops algorithms to optimize neural network for execution on neural network acceleration engines.

Responsibilities

  • Define, explore, simulate microarchitecture of key hardware component of neural network acceleration hardware, prototype hardware designs
  • Do area and power optimization analysis
  • Propose and specify useful hardware optimizations
  • Research novel hardware techniques for future accelerators
Qualifications
  • Masters, PhD in CS, EE or related engineering area
  • Strong Verilog, C++ and Python coding skills, computer and processor architecture concepts, hardware design verification
  • Familiarity with synthesis and simulation design tools
  • Excellent problem solving skills; must be a quick learner
  • Desirable - familiarity with deep neural networks, machine learning concepts, FPGA development experience, knowledge of signal processing, linear algebra, close-to-hardware level programming experience, experience with using and modifying Caffe or Tensorflow code and/or other neural network development frameworks, SystemC

PI100102754