Hailo is a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our team’s expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, Hailo is leading the edge AI revolution.
In this position
We are seeking a highly motivated and detail-oriented VLSI Frontend Student to join our dynamic VLSI group focused on pre-silicon chip design. In this role, you will have the opportunity to collaborate with experienced engineers to design, implement and verify complex digital designs towards fabrication, ensuring optimal functionality and performance of cutting-edge semiconductor chips.
This is a unique opportunity to gain all-around, hands-on experience in the field of VLSI design and verification for semiconductor chips, on the cutting edge of AI technologies.
Hailo is seeking outstanding students for Design role in our Tel Aviv site.
In this role you will handle many chip design tasks and work alongside talented Hailo engineers, taking part in developing our cutting-edge SOC which is used for processing AI neural networks.
We are passionate about building an inclusive and equitable working environment.
We promote a flexible work environment that encourages work-life balance.
If you don't meet 100% of the requirements, no worries!
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