we are seeking a highly motivated and experienced Senior Software Engineer for a position focused on developing innovative network device monitoring and visualization solution.
Meet the Team:
This position is part of Silicon One organization, based in Israel. Silicon One is the foundation of industry-leading networking hardware products, pushing the boundaries of technology and driving the next generation of high-performance, scalable solutions.
Your Impact:
Design and develop visualization capabilities within our SDK environment
Lead the development of a brand-new comprehensive self-monitoring system for network devices from the ground up
Implement a comprehensive model for capturing and managing network state information
Drive cross-team collaboration and technical strategy
Work closely with senior technical leadership
Create and refine technical requirements and system designs
Build new systems and frameworks from the ground up

we are seeking a highly motivated and experienced Senior Software Engineer for a position focused on developing innovative network device monitoring and visualization solution.
Meet the Team:
This position is part of organization, based in Israel. Silicon One is the foundation of industry-leading networking hardware products, pushing the boundaries of technology and driving the next generation of high-performance, scalable solutions.
Your Impact:
Design and develop visualization capabilities within our SDK environment
Lead the development of a brand-new comprehensive self-monitoring system for network devices from the ground up
Implement a comprehensive model for capturing and managing network state information
Drive cross-team collaboration and technical strategy
Work closely with senior technical leadership
Create and refine technical requirements and system designs
Build new systems and frameworks from the ground up

AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.

You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.

Responsibilities

Lead the software architecture and technical roadmap for or next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership across firmware, driver, and networking software development

Join our architecture team, the core of silicon development .
Our architects manage all aspects of system chip development and provide specifications to various development teams. In this role you will:
Define the features and specifications of future devices.
Utilize a data-driven approach to model and analyze networks of tomorrow, providing optimal solutions for our customers.
Model, analyze, and present simulation results for cutting-edge networking solutions across various use cases.
Apply strong networking research skills and a robust theoretical background to your work.

Join our architecture team, the core of silicon development .
Our architects manage all aspects of system chip development and provide specifications to various development teams. In this role you will:
Define the features and specifications of future devices.
Utilize a data-driven approach to model and analyze networks of tomorrow, providing optimal solutions for our customers.
Model, analyze, and present simulation results for cutting-edge networking solutions across various use cases.
Apply strong networking research skills and a robust theoretical background to your work.

We are excited to announce that the Cisco Silicon One team is undergoing rapid growth, and we are looking for a C++ Software Developer.
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

Youll be joining the post silicon validation team in PHY system group as part of the silicon development .
Our team deals with PHY and system aspects of the SerDes communication IP: PHY FW, calibrations, system definitions and operations and post-silicon validation including developing the automation infrastructure and tools.
We use latest silicon technologies and processes to build the largest scale and most complex devices at the edge of feasibility.

We are looking for a Senior Software Engineer to help build and optimize large-scale, high-performance GenAI infrastructure and inference systems on Kubernetes.

As AI workloads increasingly move toward Kubernetes-native infrastructure, we are building systems that support distributed inference, performance optimization, reliability, observability, and production-grade deployment at scale.

This role is ideal for an engineer who can reason deeply about systems, performance, tradeoffs, and reliability, and who is comfortable owning difficult technical decisions end-to-end.

You will work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure.

What Youll Do

Build and optimize high-performance Kubernetes-native GenAI inference systems
Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling
Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo
Design and implement optimization algorithms and performance improvements
Improve reliability, observability, deployment, and operational maturity of AI systems
Make architectural decisions and take ownership of technical outcomes
Collaborate with a small, senior engineering team focused on performance and production quality