דרושים » תוכנה » Senior Network Performance Engineer, Networking Insights

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware teamsomeone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Make better product quality by improving tests coverage.

Take an active part in development, integration and verification with R&D.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

We are looking for a Senior Software Engineer to join a newly established team focused on the networking of large scale AI clouds. Our goal is to enable breakthrough network performance, using our hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:

You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

You will leverage the DOCA SDK to program the data center infrastructure and accelerate it using our SuperNICs and DPUs.

Engage with customers and architects to understand the requirements and derive the software design accordingly.

We are looking for a Network/Storage Test Engineer to join our End-to-End Cloud solution team. You are going to be part of the E2E Verification team with the main goal of testing and be part of defining the most sophisticated Ethernet/InfiniBand NIC and Switch features and topologies, which build fast enablement for the products to meet growing market demands. The ideal candidate will engage in testing and defining of Networking industry-leading systems and will bring with him an ability of the fast learning of new features, technologies, and protocol.

What you'll be doing:

Contribute to design review and product features requirements under the whole Ethernet/InfiniBand NIC & Switch portfolio and AI network.

Design and build setup topologies for appropriate product coverage with an emphasis on an emulation of customer large scale / complex environments.

Design, mentorship for testing automation team, and implement tests for the new features, as part of our growing network switch and adaptors division.

Lead innovation approach by prepare and deploy different POC activities, based on the growing field demands.

Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team.

Execute end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

Are you ready to make a significant impact by tackling SW verification challenges? We are seeking an exceptional candidate to work with world-class technologies in the domains of High-Speed Communication and Virtualization for our most advanced markets and customers. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of cutting-edge networking, storage, and security services for cloud, complex compute, and AI workloads. As a Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases.

What Youll Be Doing:

Take an active part in development, integration, and verification with R&D.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive design verification flows and methodologies improvements.

Perform functional, integration, and regression of software applications and networking protocols.

Work with planning and tracking systems to manage the release progress and build release indicators.

Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software.

Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA.

Make better product quality by improving test coverage.

Our Networking Software Group is rapidly growing, and we are hiring a Software Engineer for the InfiniBand Switch Software Development team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovate and develop groundbreaking solutions.

As a member of the team, you will be a part of a cutting-edge Python-based SW project using advanced techniques to solve complex issues. You will gain unique knowledge of how operating systems work, Linux kernel and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge? The Networking Hardware Acceleration team develops a cutting-edge, high speed API for our Network Interface Cards (NICs). We power foundational projects like DPDK and DOCA-Flow, driving next-generation networking performance. Join us to gain deep insights into our hardware acceleration technology and make a meaningful impact on both software and hardware innovation.

What youll be doing:

Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.

Design, develop, optimize, and maintain an OS/Kernel verification testing platform.

Collaborate with team members, architects, design, QA teams, and customers (both external and internal).

Innovate! We are always looking for new ways to make our Networking driver products shine in customers' eyes.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stackfrom applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

Were looking for an experienced Data Engineer to join our Networking Cluster Solutions (NCS) group and help shape the data backbone behind our advanced R&D telemetry and performance analytics ecosystem.

In this role, youll design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of real-time telemetry data from hardware, communication modules, firmware, and large-scale AI and HPC clusters.
Youll work in a cutting-edge environment that combines software, hardware, and data infrastructure driving the next generation of our cluster performance and monitoring technologies.

The NCS group builds and operates some of our Israels most advanced AI and HPC clusters, optimizing networking and compute performance at scale.

What youll be doing:

Define and execute the groups data technical roadmap, aligning with R&D, hardware, and DevOps teams.

Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying telemetry and performance data.

Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas.

Implement and maintain observability and data quality standards, including schema validation, lineage tracking, and metadata management.

Develop monitoring and alerting for pipeline health using Prometheus, Grafana, or Datadog.

Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and curated datasets.

Promote best practices in data modeling, code quality, security, and operational excellence across the organization.

Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage.

We are looking for a Senior Software Engineer to join a newly established team focused on the networking of large scale AI clouds.

Our goal is to enable breakthrough network performance, using our hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.


What you'll be doing:

You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

You will leverage the DOCA SDK to program the data center infrastructure and accelerate it using our SuperNICs and DPUs.

Engage with customers and architects to understand the requirements and derive the software design accordingly.