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We are seeking an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within our Data Center and HPC environments.

You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring our products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology!

What youll be doing:
Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios.
Compose and build complex testbed topologies that emulate customer environments.
Implement, run and optimize integration test plans including functional, regression, and performance testing.
Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution.
Collaborate with automation teams.
Analyze and optimize network performance, latency, and efficiency.
Provide clear status updates, reports, and insights on system quality and performance.

We are seeking a dedicated Software Engineer to join the Vertical Verification Group. As a senior team member, you will help craft high-performing software automation systems for NVIDIA's Data Center environments. The role focuses on software development and solutions involving AI. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, working closely with architects, network engineers, and developers. With skilled engineers worldwide, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What youll be doing:
Build, develop, and optimize scalable software systems with a focus on AI/ML integration.
Build automation and validation tools simulating data center and HPC environments.
Collaborate with cross-functional teams to define requirements and deliver robust solutions.
Improve system performance, scalability, and reliability through architectural improvements.
Troubleshoot complex issues in distributed systems and improve observability.
Participate in code reviews, build discussions, and continuous improvement efforts.

Our Networking Division is looking for an excellent Verification and Validation System Product Engineer! 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.

What you'll be doing:

Define test strategy

Design, implement, and execute validation plans for the infrastructure system.

Write efficient, maintainable, and high-quality unit tests for new features and existing codebases

Automate infrastructure testing processes to improve validation efficiency.

Identify potential bottlenecks, vulnerabilities, and failure points within the infrastructure and recommend corrective actions.

Enhance validation efficiency through continuous monitoring and optimization.

Troubleshooting and streamline/optimize our testing procedures.

We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward.

What youll be doing:

Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.

Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW.

Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently.

What youll be doing:

Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams.

Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling.

Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions.

Contribute to improving system reliability, maintainability, and observability of infrastructure components.

Support CI/CD integration for validation processes and services.

What you'll be doing:

Design and build the core platform that powers an autonomous AI agent - including its reasoning engine, tool orchestration, and the runtime infrastructure it operates on.

Develop and evolve the Micro-services ecosystem that gives the agent its capabilities - from knowledge retrieval and log analysis to code execution and workflow automation.

Own features end-to-end: from requirements analysis and architecture, through implementation, to production deployment and iteration based on real usage.

Instrument, evaluate, and improve the platform's reliability - build observability, track quality, and feed signals back into the system to make the agent more effective over time.

Collaborate with engineering teams across the organization to identify high-impact workflows and translate them into AI-assisted automation that boosts developer productivity.

Work across the stack when the problem requires it - Python services, Kubernetes infrastructure, data stores, CI/CD pipelines, and developer-facing tools.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven hands-on Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network topologies, configurations, logic and traffic patterns, and analyzing their effect on end-to-end performance. You will develop expertise in our simulation tools and write code daily to contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Analyze and model our AI and High Performance Computing offerings, deep dive into network behavior for training and inference and generate insights to directly impact the architecture of next-generation of AI systems. Conduct advanced network modeling, research and optimization using innovative simulation tools.

Write production-quality C++ and Python code daily. Hands-on modeling of advanced network topologies, configurations and traffic patterns representing real life AI workloads, and analyze their effect on the system's performance. Actively develop the simulator software solution while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

We seek for team lead to join our Ethernet Switch SONiC Network OS. As a SONiC design team lead, you will have to work closely with our development and architecture teams responsible for SONiC Network OS and gain a deep understanding of our products and technologies.

What you'll be doing:

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

Participate in an international team of software engineers working on products for testing our products.

Manage, mentor, and guide a team of SONiC eth switch NOS.

Design and implement SONiC feature under linux environment upstream to SONiC open source project.

Promote a culture of innovation, quality, and accountability. Bring SONiC NOS to shine in customer's view.

We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What youll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities.

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction.

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling.

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.

The CPU team is a world-class, global organization united by a mission to push the boundaries of whats possible and shape the future of computing. We are looking for a talented, fast-learning and highly motivated Logic Design Engineer to join our team. As part of the core design team, youll take ownership of parts of the design and work closely with architecture, verification, and physical design teams, contributing to a fast-moving, technology-focused environment and helping shape future products.

What you'll be doing:

As part of the CPU core team, youll take ownership of a unit.

Contributing to the micro-architecture, writing RTL and documentation.

Working closely with verification and implementation teams to meet timing, area, performance, and power goals.

We are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for ATE software engineer As a Software Automatic TEST Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic TEST Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology. You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems. Key Responsibilities:
* ATE Software Development: Design, develop, TEST, and maintain software for Automatic TEST Equipment used in electronic card testing and AESA radar calibration.
* Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
* Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
* Documentation: Maintain accurate and up-to-date documentation.
*  Quality Assurance : Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
* Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
* Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies.

We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

We are looking for a Senior Software Engineer to join the SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our 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 will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.