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We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

Plan and build complex cluster and supercomputers in various of data center and labs.

Rack stack and cable management to ensure efficient use of space and easy maintenance.

Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization.

Data centers and labs daily operation and support.

Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI.

Perform troubleshooting - network, optic cabling, bare metal, operating system.

Support Research & Development activities.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

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

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

We are looking for an excellent DevOps engineer to join the Switch and Firmware DevOps team and make a wide impact on the company products and teams worldwide. The role includes the development of cutting-edge design automation tools, build systems, and continuous integration systems. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving the needs of our customers through new and improved CI processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

We are looking for hardworking engineers who arent afraid of taking up new technologies, processes, and tools to make constant improvement in the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What youll be doing:

Develop and support CI processes of various products.

Coordinate with various teams across the globe to promote and improve CI practices.

Build infrastructure for effective, high-quality development and release efforts.

Be a part of an experienced team with a great atmosphere.

We are looking for a Director from the FE ASIC domain to lead the Design Technology team. The team is responsible for driving AI-powered engineering productivity and developing, supporting, and operating the systems, tools, infrastructure, and automation solutions that enable the work of the design and verification teams in the networking ASIC group. A key objective is to maximize engineering productivity, design quality, and execution efficiency by accelerating the adoption of AI-assisted workflows, scalable automation, and advanced design technologies, while continuously evolving engineering tools and flows to meet the rapidly changing needs of AI-driven development. This position offers the opportunity to think outside the box and make a real impact on a dynamic, technology-focused company.

What You'll Be Doing:

Lead managers and team leads.

Collaborate with project leaders to define strategy, priorities, and execution plans across strategic programs.

Drive the development, deployment, operation, and adoption of design technologies, engineering infrastructure, automation, and AI-enabled solutions that improve chip design productivity, quality, and execution efficiency.

Evolve engineering tools, environments, and workflows to meet the changing needs of AI-driven development and design engineering.

Ensure high-quality support and enablement for internal engineering users through training, documentation, troubleshooting, and continuous service improvement.

Partner with methodology and engineering stakeholders to drive adoption and continuous improvement of design and verification flows.

We are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for excellent people like you to help us accelerate the next wave of artificial intelligence.

We are looking for a skilled, creative, and highly motivated PHY System Engineer to join the End-to-End (E2E) physical-layer performance team, as part of the Post-silicon department.


What youll be doing:

Testing our Electro-Optical and Electrical chips and systems.

Link-level performance characterization, verification, and debugging.

Responsibility for complicated setups establishments, covering both optical and electrical components.

Characterizing optical and electrical performance using lab equipment and SW tools.

Take an active part in silicon bring-up while managing E2E testing of the newest ASICs, with the objective of driving product to mass production with first-in-class performance.

Characterizing products performance using lab equipment, such as oscilloscope, Spectrum/Network analyzer, Pattern-generator, etc.

Working in front of various test teams, with the responsibility of addressing issues and monitoring the test flows conducted by them.

Our Networking business unit is looking for IC Reliability Lab manger, who will work in our R&D labs in Yokneam.

As an IC Reliability Test lab manager, the candidate will be responsible for leading all reliability test lab activities and tasks as well as leading a team of operators and practical engineers.

Candidate will lead a team performing various types of testing of our ICs, on various reliability platform, on ATE and evaluation boards, as part of reliability activities, design, production validation and IC characterization.

This job allows you to work in a complex, exciting engineering environment handling challenging IC testing activities.

What youll be doing:

The manager will be leading various type of reliability testings of our ICs, and responsible on our reliability labs, which is a multi-millions $ worth of equipment as well as activities such as IQC, OQC, IC Inventory managing and shipments.
This will include ATE (Automated Test Equipment), systems & evaluation boards and reliability equipment.
Full management a team of Technicians and Operators, including day to day management, prioritization, focal reviews, and training.
Maintaining and operating laboratory equipment such as IC ATE, HTOL systems, Scopes, DVMs and other tooling, minimizing down time for all.
Providing excellent support to engineers and our internal customers, carrying out Q&R tasks and following strict execution methodologies.
Establishing/Maintaining a comprehensive Engineering Lab Stock, apply skills to automate complex tasks and improve team productivity and efficiency.
Entering and maintaining a database of work procedures and test data and reading Schematics of electronic circuits.
Building, updating, and improving Lab Processes and Procedures while following and ensuring strict safety procedures and safety checks.

We are looking for a talented, fast learner, and highly motivated Chip Design - Verification Engineer. As a member of our Chip Design Team, you will be responsible for verifying portions of the design, of a high performance and low power chip, focusing on such tasks as micro-architectural understanding, Verification environment coding and logic debug. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines roadmap. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you'll be doing:

As a member of our Chip Design team, you'll own and be responsible for crafting and timely delivery of a verification components and quality of Chip Design related logic. Day to day tasks include:

Understand and analyze uArch definitions.

Implement verification components to verify RTL meets specifications.

Collaborate with our RTL, Arch and uArch teams.

Work on logic related to switch design.

We are now looking for a Chip Design & Verification Engineer to join our Switch Silicon team for Verification / Design roles. As a Chip Design & Verification Engineer in our Networking business unit, you'll join a group of passionate engineers to design, implement and verify the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What You'll Be Doing:

Work in a combined design and verification team which develops some of the switch silicon core units.

Micro-architecture for RTL and simulation environment planning for units and modules.

Design/Verify RTL units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.

Build reference models, verify, and simulate chip blocks/entities according to specifications.

RTL synthesis, timing, supporting verification, and silicon post TO activities.

Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW.

We are looking for a top-tier, high-energy Senior Software Engineer to join our Networking Devices Management Tools group. We build the mission-critical tools used worldwide by tech giants and open-source communities to configure, manage, and debug our cutting-edge networking hardware used as part of our AI super computers. If you are highly motivated, love solving complex problems, and thrive in a fast-paced, dynamic environment - we want you with us!


What you'll be doing:

As a key player in our Agile team, youll design, implement, build, and own next-gen management tools specifically for our networking products.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices. Youll build cross-platform solutions supporting both Linux and Windows, leveraging cutting-edge AI tools (Cursor, Claude, etc.) to supercharge your development workflow.

Own & Deliver: Take features from architectural solutions to technical design, estimation, deployment, and testing.

Collaborate & Influence: Partner with multiple hardware and software dev teams across the Networking BU. You will represent the team and drive technical presentations across major cross-company projects.

Grow Continuously: Expand your technical capabilities in a high-octane team that never stands still.

We are looking for a Senior Software Engineer to join the SDK Verification team. The SDK enables developers to rapidly create applications and services on top of our BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services.
Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues.
Debug and analyze complex system-level issues to identify root causes and drive timely resolution.
Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of our services.
Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation.
Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the platform.

The NVIDIA Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading NVIDIA devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with NVIDIA partners and customers.

We are looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for our IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.

What youll be doing:

Design, develop, and execute manual and automated tests as part of software stack releases.

Define, build, and manage testbed topologies for functional, regression, and performance validation.

Analyze architectural designs and feature requirements for new networking capabilities.

Debug failures, identify root causes, and verify fixes delivered by development teams.

Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.

Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.

Collaborate with cross-functional global teams including R&D, product marketing, and system verification.