Low-power Machine Learning Processor ASIC Design Engineer

Magics is now looking for a Low-power Machine Learning Processor ASIC R&D Engineer to join its team. At Magics, we have a family-like warm working environment, and our mission is developing technologies to enable intelligent and reliable machines for a smart and sustainable world. If you’d like to be part of us, please send your CV to hr@magics.tech, and we will contact you.

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 benefit

  • 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

Contract information

  • Location: Mixed on-site (Geel/Leuven, Belgium) and home working
  • Duration: Unlimited

Spontaneous application

We do accept spontaneous applications. If you’d like to be part of our team, please send your CV to hr@magics.tech, and we will get in contact. 

man configuring chips

Brigitte Li

Human Resources

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Apply for this opportunity

Please send your application to the email address below with your preferred email client, or use the form underneath.

Apply for this opportunity​

Please send your application to the email address below with your preferred email client, or use the form underneath.
hr@magics.tech

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