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You'll be joining Cisco Silicon One Israeli team which is the core center of Ciscos SW and ASIC design. You'll be part of the group driving our groundbreaking next-generation network devices - Cisco Silicon One. Our unique team works in a startup atmosphere inside a stable and leading corporate and develops the full software stack enabling the Silicon One ASICs.

Join a team of dedicated engineers with a proven track-record at delivering breakthrough products. Our R&D center is outstanding - hosting all silicon HW and SW development teams inside one site. We are transforming the industry and building a new AI/ML Networks, as well as providing a unified, programmable silicon architecture that is the foundation of all Cisco's future routing products. Our devices are crafted to be universally adaptable across service providers and web-scale markets, designed for fixed and modular platforms. Our devices deliver high speed (50+ Terabits per second) without sacrificing programmability, buffering, power efficiency, scale or feature flexibility.

Cisco Silicon One is a revolutionary, ground-breaking technology for our customers and end users for decades to come! The Internet now has a new faster, better, safer engine!

You have a unique opportunity to join the core center of Cisco silicon SW development and work with us to design and deliver breakthrough technologies.



Your Impact

You'll develop Core Software technologies at the heart of tomorrow's leading infrastructure solutions, tackling the entire range of challenges from user-facing API-s, through high-level algorithms, all the way down to firmware.

In this role, you will:

Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will work with system teams and the Central Processing Unit (CPU) Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.