Ori Chalak

Researcher and Software Architect - AI processor Optimization at Toga Networks-a Huawei Company

Ori Chalak is a highly experienced technology professional with a strong background in compiler architecture and simulation technology. Currently serving as an NPU compiler architect at Toga Networks since 2019, Ori specializes in cloud inference, cloud training, and edge devices, having developed innovative methods for data flow and optimization algorithms. Prior roles include Simulator Architecture Leader at Toga Networks, where Ori designed a scalable ESL platform and cycle-accurate simulators, Logic Technology Leader at Marvell Semiconductor Inc, and Verification, Modeling and CAD Department Manager at Analog Devices Israel. Ori's career began at Daizix Inc as a Software R&D Engineer, contributing to early advancements in EDA tools. Educational credentials include a BSc in Computer Engineering from the Technion - Israel Institute of Technology and an MS in Computer Science from Bar-Ilan University.

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Toga Networks-a Huawei Company

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Toga Networks was founded in 2009 and is a privately held company that provides advanced technology research and high level design for the IT and Telecom markets. With many architects and experts in various fields, Toga focuses on technological innovation and delivers breakthrough technology for its global partners.The world of communicationsis changing very quickly, and the competition for customer mindset and market share is intense. This means system providers must upgrade their product offerings and infrastructure to keep up with demand. Toga’s experience and agility provide superior technologies that address real customer needs creatively and efficiently.Toga has a proven track record of developing next-generation products used by tier 1 operators and large enterprises. With a unique blend of in-depth research and best engineering practices and experience, Toga has cultivated exactly the capabilities it needs to take projects from their earliest stages through all development stages to successful deployment.


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201-500

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