דרושים » הנדסה » Embedded software team leader

Cisco Silicon One team is undergoing rapid growth and seeking Software Engineers at all stages of their careers whether you're just starting out or bringing years of experience.

Meet the Team

Join the Cisco Silicon One team developing a unified silicon architecture for web-scale and service provider networks. Cisco's silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization with the startup culture and breadth of growth opportunities that working in a smaller team can provide.

Your Impact

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

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work with system teams and the 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
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.

Who We Are
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network even the ones they dont own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they impact end- user experiences.

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Ciscos leading Networking, Security, Collaboration, and Observability portfolios.


What You Will Do
As a Software Engineer in the Traffic Insights team, you will:

Design, develop, and maintain backend services in Java and agent-side code in Go to enhance network visibility, prediction and troubleshooting capabilities.
Work on the design and implementation of sophisticated features, including high-performance message handling, memory optimization, and database efficiency.
Develop scalable and efficient software solutions to support Traffic Insights, a rapidly growing product in ThousandEyes, helping customers with capacity planning, problem prediction, and network assurance.
Optimize system performance, ensuring reliability, scalability, and efficiency in handling large-scale network data.
Collaborate with multi-functional teams to integrate advanced network analytics into Ciscos network assurance and visibility solutions.
Improve the efficiency of data storage and retrieval mechanisms to handle vast amounts of traffic data.