We are seeking a highly skilled and motivated candidate to research and develop a high-quality optimizing compiler, including backend with code generation support for advanced Coarse Grain Reconfigurable Array (CGRA) targets. The CGRAs will support Deep Learning Networks, based on dynamic SNNs or ANNs.
Compared to existing solutions, energy efficiency needs to be improved by exploiting ILP, DLP (SIMD), an advanced memory hierarchy, data reuse, sparsity, quantization, etc. Application and Network dynamism must be exploited to further reduce energy consumption.
The candidate will be working within the CONVOLVE project which aims to create the next generation of Edge-AI processing hardware. Unlike existing solutions, this hardware needs to support high throughput, reliable, and secure AI processing at ultra-low power (ULP), combined with a very short time to market.
With its strong legacy in edge solutions and open processing platforms, the EU is ideally positioned to become the leader in this edge-AI market. However, certain roadblocks keep the EU from assuming this leadership role: Edge processors need to become 100x more energy efficient; Their complexity demands automated design with 10x design-time reduction; They must be secure and reliable to get accepted; Finally, they should be flexible and powerful to support the rapidly evolving DL domain.
The CONVOLVE consortium includes some of Europe's strongest research groups and industries, covering the whole design stack and value chain. In a community effort, we will demonstrate Edge-AI computing in real-life vision and audio domains. By combining these innovative ULP and fast design solutions, CONVOLVE will, for the first time, enable reliable, smart, and energy-efficient edge-AI devices at a rapid time-to-market and low cost, and as such, opens the road for EU leadership in edge-processing.
We are looking for excellent, teamwork-oriented, and research-driven candidates with an Computer Science, Electrical Engineering, or related background, with very strong software design skills. Affinity with hardware design and implementation is also welcomed.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Please contact dr.ir. Sander Stuijk, s.stuijk[at]tue.nl, http://www.es.ele.tue.nl/~sander
Visit our website for more information about the application process or the conditions of employment. You can also contact Mrs. Linda van den Boomen, HR advisor l.j.c.v.d.boomen[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
If you are interested in working in an exciting, dynamic, high-tech environment, where you will contribute to creating the society of the future, we invite you to submit a complete application by using the 'apply now' button on this page.
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