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 career@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 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

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 iin contact.

man configuring chips

Brigitte Li

Human Resources

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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