Low-power Machine Learning Processor ASIC Design Engineer @ Magics in Geel, Belgium


014 58 59 27

Key qualifications

  • PhD or Master’s degree in electronics engineering or related technical field.
  • Solid understanding of machine learning algorithms and architectures, such as CNNs and LSTM/RNNs.
  • Experience in digital IC design, RTL design, EDA design tools (Cadence or Synopsys) and methodologies.
  • Experience in processor (ARM or RISC-V) design is a strong plus.
  • Experience in machine learning FPGA implementation is a plus.
  • Good communication skills in English.

Job description

  • Participate in cutting edge research in machine learning and artificial intelligence
  • Develop ultra-low-power machine learning processor chips for intelligent sensing and autonomous navigation

Your benefits

  • Working on exciting projects and products development for world changing applications, such as deep-space planetary exploration, robot intelligence, and fusion energy production.
  • Opportunities to learn quickly and act efficiently in a startup company with high growth potential
  • Working in a very dynamic team with colleagues who care about you and the company
  • Competitive salary and social benefits