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We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

We are looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of our datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments.

What Youll Be Doing:

Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.

Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.

Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.

Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.

Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.

Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.

Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.

Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team in our Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices.

What You'll Be Doing:

Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation.

Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines.

Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core).

Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports.

Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams.

Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency.

We are seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery-shaping the future of AI networking and infrastructure.

What you will be doing:
Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
Act as a thought leader and industry influencer-engaging directly with customers, publishing technical content, and representing us at key conferences and forums.
Define and execute a bold architectural vision for our networking in close collaboration with cross-functional software and hardware leaders.

We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the software infrastructure and tools that shape the future of Chip Design and Verification. This role works at the intersection of infrastructure engineering, tooling, and database ownership. Youll be responsible for the backbone systems that enable the development of our industry-leading networking chips - the highway for the AI revolution.

We're looking for a senior hands-on engineer who combines deep expertise in Python automation and CI/CD data flows with a passion for large-scale compute environments. If youre excited about optimizing critical systems, owning the health of compute farms, and driving reliability across cross-functional teams, youll feel right at home here.

What youll be doing:

Partner with Chip Design teams to solve engineering bottlenecks: Collaborate closely with Design, Verification, and Methodology teams to identify workflow pain points and deliver infrastructure solutions that directly improve chip design productivity and quality.

Build automation infrastructure: Design, build, and maintain robust Python-based automation infrastructure that orchestrates chip design flows, monitoring, and infrastructure tooling.

Drive the compute infrastructure scalability, integrity and performance

Own the platform health: Take ownership of the day-to-day health, capacity, and reliability of our compute farm and storage systems. This includes leading incident response, triage, and implementing long-term fixes to ensure high availability.

We are building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.

Our teams mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.

As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.


What you'll be doing:

Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.

Collaborate with engineering teams across us to identify AI infrastructure challenges and solve them through upstream innovation.

Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.

Participate in architecture discussions, API design, technical proposals, and code reviews.

Build reliable, scalable infrastructure software for next-generation AI workloads.

Write clear technical documentation and design proposals.

We are now looking for a Power Optimization and Analysis Engineer! We prides ourselves on having energy-efficient products. We believe that continuing to maintain our products' energy-efficiency compared to competition is key to our continued success. As part of the u/arch team in the Switch group, you will be responsible for analyzing full chip and unit-level power data and driving the FE/BE ASIC teams to improve their units power efficiency; you will be responsible for researching, developing, and deploying methodologies to help our products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of our Switches product line.

As a member of Switch u/arch Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for our next generation switches. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What You'll Be Doing:

Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.

Develop and share best practices for performing pre-silicon power analysis.

Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.

Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.

Select and run a wide variety of workloads for power analysis.

Prototype new architectural features in Verilog and power analysis.

We are looking for an experienced Firmware Engineer to join the NIC Firmware team at the Yokneam site. The Firmware team develops cutting edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What you will be doing:

Work closely with the architecture and different software design teams.

Implement new features in the core of our NIC firmware in pre and post silicon environment.

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.