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We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs. This simulation platform enables Our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.
What Youll Be Doing:
Develop and maintain simulation infrastructure components for different simulation teams (GPUs, switches, NVLink, Ethernet, PHY) of our high-performance networking chips.
Define, implement, and validate simulations of core infra features, improve performance, maintain multi processes and multi-threaded IPC mechanisms (sockets, queues etc.), define architecture and the building blocks of the simulation.
Own, extend and optimize all the CI/CD of the simulation team, starting from servers installation to adding and maintaining various Jenkins jobs that help developer and improve their life.
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex behaviour in software.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

Required Senior Software Engineer, Data Center Workloads - Infrastructure
We are pioneers in innovation, transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our team is driven by powerful technology and outstanding people who expand the limits of whats achievable. Now, we are unlocking the potential of AI to usher in the next era of computing.
As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on our rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on next-generation systems.
What youll be doing:
Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.
Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.
Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.
Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

We are looking for an exceptional Hardware Simulation Engineer for the ChipSim team. You'll build software systems that validate our next-generation datacenter GPUs before they exist in silicon - enabling firmware, driver, and architecture teams to develop in parallel with chip fabrication. Working closely with hardware architects and cross-functional teams, you'll create simulation platforms for networking features like NVLink and InfiniBand that power the world's largest AI supercomputers.
What You'll Be Doing:
Develop and maintain simulation models for next-generation networking hardware features
Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations
Create automation tools and CI/CD pipelines for regression testing and result analysis
Design developer-friendly simulation environments that enable rapid iteration and debugging
Collaborate with hardware, firmware, and software teams to ensure accurate chip behavior modeling.

Our System Product Engineering team is looking for a QA Engineer to join us and help validate the software infrastructure used by multiple teams across the organizations. This role focuses on testing internal tools, backend services, workflows, automation, and the systems that support our validation processes. You will work closely with developers, infra teams, and validation engineers to ensure that our internal software is stable, reliable, and easy to use. You will contribute to building robust test coverage, improving automation, analyzing logs and test results, and driving quality throughout the development cycle.
What youll be doing:
Plan, execute, and analyze functional, integration, and regression tests for internal infrastructure software
Develop and maintain automated test cases and test flows
Validate backend services, data pipelines, web tools, and internal workflows
Investigate failures, collect logs, reproduce issues, and work with developers to identify root causes
Review and validate new features before release, ensuring they meet quality and usability expectations
Support CI/CD flows by monitoring automated tests and contributing to improvements
Document test scenarios, edge cases, and validation coverage
Provide continuous feedback to developers and infra teams to improve quality and reliability.

Our Networking Business Unit is looking for an experienced Thermal validation engineer to execute thermal validation tests plan for our products as switches, HCAs and optical transceivers, to ensure that our products meet thermal performance, reliability, and specification under real-world operating conditions. This role involves hands-on testing, data analysis, and collaboration with thermal design and hardware engineers. Our Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies.
Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.
What you will be doing:
Develop and execute thermal validation test plans for air-cooled and liquid-cooled systems.
Validate cooling solutions (fans, heat sinks, cold plates, liquid cooling loops) under various environmental and load conditions
Analyze thermal data to identify overheating risks, thermal throttling behavior, and cooling solutions
Document test results in detailed reports and present findings to cross-functional teams
Collaborate with multi-functional teams, including electrical engineers, mechanical engineers, and product designers, to ensure effective integration of thermal solutions into the overall product design.

Our Networking business unit, IC silicon product engineering department is looking for a hardworking multi-disciplinary engineer to join a highly skilled existing team in bringing up new high end company products, defining its validation coverage or test plan, constructing and monitoring their own workplan and reaching a target of high Quality IC screening for production on a system level platform.
The primary responsibility of this position will be to define, plan, manage, implement and conduct all the product's System Level activities on the most advanced, cutting edge technology network adapters, switches and Interconnect while combining project management skills to monitor progress and matrix management of other teams and peers for the same cause - high quality company chips. This position location is in Yokneam. Our team enjoys a hybrid and flexible schedule - you'll be in the office 2-3 days a week under normal circumstances, with additional on-site days during peak activity periods. We value work-life balance and trust our team to manage their time effectively
What youll be doing:
Work with cross-functional teams across multi global sites - Arch, Marketing, Operations, HW, FW, SW, Data and more to identify the needed product coverage and requirements
Develop test plans, kick off the product from system level side with all stakeholders, define the right HW setup and make these test plans run while using existing test framework
Defining quality indicators/dashboard and analyze test results
Manage the transition of the product from engineering to mass production
Drive ownership of improving the company's products quality and time to market.

We are looking for a Senior Data Engineer to join the NSV (Network Solutions Validation) group. NSV builds high-performing software automation for our Data Center environments and helps drive the data growth of the world's biggest companies. In this role, you will design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of data from hardware, communication modules, firmware, and large-scale AI and HPC clusters. You'll also contribute to our growing Agentic AI initiatives, helping develop AI Agents that bring our data capabilities to the next level.
What you'll be doing:
Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams
Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying cluster verification and telemetry data
Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas
Ensure data quality and pipeline health through observability standards, schema validation, lineage tracking, monitoring, and alerting
Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage
Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and datasets
Drive best practices in data modeling, code quality, and operational excellence; collaborate with cross-functional teams to support data-driven decision-making
Contribute to the development of AI Agents that enhance the visibility and accessibility of insights and data for our users.

Were looking for a Senior Acquiring Product Manager for a 1- year temporary contract whos eager to shape the future of global payments. In this role, youll lead the evolution of acquiring capabilities - expanding our product portfolio, optimizing existing solutions, and helping merchants grow through smarter, more reliable payment experiences. This is a hands-on, cross-functional role where youll turn strategy into execution, partner with teams across the company, and see your ideas come to life.
Responsibilities:
Own the full product lifecycle - from concept and design to development, launch, and continuous improvement.
Transform business needs and customer feedback into clear PRDs and actionable user stories that balance MVP scope, time-to-market, and long-term growth.
Collaborate closely with R&D, analysts, finance, operations, compliance, and external partners to deliver high-impact solutions.
Actively participate in Agile ceremonies (standups, sprint planning, retrospectives) to keep teams aligned, motivated, and focused on delivering value.
Define success metrics and KPIs, monitor performance, and use data to drive product decisions and prioritization.
Conduct ongoing market and competitive research to identify new opportunities and emerging trends in acquiring and payments.
Partner with clients and end-users to understand their needs and translate insights into meaningful improvements.
Ensure all acquiring products meet global security, compliance, and regulatory standards.

We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

Our System Design Automation team is looking for an experienced Software Engineer with a passion for UX/UI and AI integration to join our engineering group. We are seeking a versatile developer who excels at building intuitive, user-centric software platforms and has a proven ability to seamlessly embed AI/ML solutions into production-ready tools.
The team develops and sustains a range of capabilities for our next-generation hardware platforms-bridging traditional software engineering with with AI-based automation and intelligent debugging solutions. Your role will be to ensure these advanced technologies are delivered through a cohesive system architecture and a superior user experience, accelerating issue resolution and improving product reliability for the world's most advanced GPU and data center technologies
What You'll Be Doing:
Architect, develop, and support end-to-end software tools across the full engineering stack-from robust backend services and data processing to intuitive, user-centric interfaces.
Design and implement agentic workflows-building multi-step, tool-using AI agents integrated into software platforms to enable autonomous reasoning and action.
Build and maintain scalable data pipelines and ETL flows for logs and telemetry data to support intelligent automation and AI/ML workflows.

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

We are looking for a highly technical Senior Product Manager to join our rapidly growing Product team and lead strategic initiatives at the core of evolution.
In this mission-critical role, you will also own the product vision, strategy, and roadmap for a new real-time data and infrastructure layer that underpins the entire platform. Youll work within an incubator-style innovation team, partnering closely with engineering, architecture, data, and GTM teams to build scalable, reliable, low-latency systems that enable advanced customer data processing and activation.
What Youll Do:
Lead product strategy and execution for next-generation real-time data infrastructure and other products.
Own problem discovery, requirements definition, and roadmap development for complex backend and data engineering capabilities.
Work closely with engineering and architecture teams to design high-scale, distributed, event-driven systems.
Translate customer, market, and internal needs into clear technical requirements and KPIs.
Drive cross-functional alignment and ensure delivery of high-quality, high-performance infrastructure components.
Champion technical excellence, data quality, and system performance throughout the product development lifecycle.
Continuously analyze industry trends, emerging technologies, and competitive solutions in the CDP, data infrastructure, and real-time analytics domains.

We are now looking for electrical engineers who like to be part of high-end Optical Transceiver performance and reliability tests. This role will give you a rare opportunity to affect and deliver a new class of products, aimed at delivering data at incredible speeds, using high end solutions to lead the world of high-speed optical communication to new extremes.
What you'll be doing:
Hands on qualification activities and failure debugging for new optical products
Defining testing requirements for new products based on electrical and optical specifications
Leading data-driven discussions about the product functionality and areas for improvement
Working in front of various test teams, with the responsibility of addressing issues and monitoring the test flows conducted by them
Learning to use new technologies to enable improvement for generation to generation.

We are seeking a highly motivated and experienced Senior Tools/Regression Engineer to join our Qualification Hardware Group. We are looking for a dynamic individual who excels in complex software and hardware environments, brings innovation to the table, and is passionate about driving product excellence. In this role, you will collaborate closely with cross-functional teams, including hardware (HW), firmware (FW), and software (SW), to deliver high-impact solutions. You will be expected to take initiative, support team-wide goals, and develop tools, automation, and regression frameworks with a forward-thinking mindset.
What Youll Be Doing:
Take ownership of hardware setups and develop tools and applications to verify hardware projects, ensuring maximum coverage and automation of auxiliary systems.
Collaborate with multiple teams across software and hardware to define, plan, and deliver end-to-end solutions.
Take ownership of software regression, ensuring the delivery of robust tools and applications.
Contribute to large-scale SW/HW projects in a cross-platform environment.
Participate in the full software lifecycle - from architecture and design to bring-up and production.

We are looking for a passionate and experienced Data Platform Product Team Leader to own and lead the strategic direction of Data Platform product team.
This is a rare dual role - a hands-on product leader who both manages a team of 2-4 Product Managers and directly drives product work across several engineering teams. You will lead the full lifecycle of the data layer that underpins : from how data flows in, through identity resolution and real-time event processing, to data activation for segmentation, sharing data back to clients, and building predictive behavioral models on top of it. Your work touches every team in and every customer we serve.
What You'll Own:
The Data Platform team covers a wide and critical product surface:
Data Ingestion - how customer data flows into from various sources, including batch and real-time event streams, to build a near-real-time single customer profile
Identity Resolution & Matching - connecting fragmented customer identities into unified profiles at scale
Data Activation - powering segmentation engine with fast, reliable access to customer data
Data Sharing - exposing enriched data back to clients via APIs, exports, and integrations
Predictive Modeling - building behavioral and predictive models that drive intelligent marketing decisions