nanoJOBS – Careers in Nanotechnology

Job Listing Details:

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System Engineer for Machine Learning
Employer: imec
Location: Leuven, Belgium
Website: http://www.imec-int.com/en/home
Employment Start Date: As soon as possible

Organization Description:

Imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
 
As a trusted partner for companies, start-ups and universities we bring together 4,000 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer. To strengthen this position as a leading player in our field, we are looking for those passionate talents that make the difference!
 

Job Description:
  • You will explore the power, performance and area (PPA) of dedicate Machine Learning architectures to benchmark them in imec’s Machine Learning technology offering.
  • Teaming up with various experts inside imec, you will explore system and architectural trade-offs for new technologies across the whole system, from new (synapse or neuron) devices up to novel compute in memory technology up to 3D integration.
  • You will assess which technology enablers will bring which gains in the overall system, for different AI workloads - ranging from standard CNNs to cutting edge reinforcement learning or online learning.
  • You will maintain and build links with imec’s commercial and academic partners and follow-up joint research projects with them
  • You will help drive imec’s technology and architecture roadmap to build the semiconductor technology for AI of the near and far away future.
Requirements:
  • We are looking for a PhD in Electronics or Computer Architectures, or a master with at least 3 years relevant industrial experience.
  • We value a background of digital implementation and SoC architecture for one or more application domains (Mobile, Server, …) and experience with specifications for different parts of SoC in different market spaces.
  • You are familiar with deep learning and machine learning algorithms and can communicate with our algorithm experts.
  • You have worked in multi-disciplinary teams, ideally both interacting with architects, hardware designers as well as algorithm and software teams
  • You have experience with system exploration simulator software (gem5, mcpat, Platform Architect) or are willing to learn to use these tools.
  • Since you will work in an international environment, you have a very good knowledge of English.

We offer you the opportunity to join one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium. With your talent, passion and expertise, you’ll become part of a team that makes the impossible possible. Together, we shape the technology that will determine the society of tomorrow.
We are proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth.
We are aware that your valuable contribution makes imec a top player in its field. Your energy and commitment are therefore appreciated by means of a competitive salary with many fringe benefits.

Job Application:

Please apply via: https://www.imec-int.com/en/work-at-imec/job-opportunities/system-engineer-for-machine-learning

Date Posted: September 12, 2018