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We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation our data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation our AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.

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 our future networking and AI infrastructure roadmaps.

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

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.

We are looking for an excellent Drivers Team leader to lead the Inbox Linux Drivers team and make a wide impact on the company products and teams worldwide. The role includes leading the development and maintenance of cutting-edge Linux kernel drivers and userspace libraries for our networking technologies, while managing a team of highly skilled Linux engineers responsible for delivering production-quality software across multiple products and distributions.

What youll be doing:

Lead a team of Linux kernel engineers responsible for developing, maintaining, and delivering Linux networking drivers for our NICs across multiple product lines, including Inbox drivers, our Kernel, and DOCA Host.

Drive the design, implementation, maintenance, and integration of Linux kernel drivers and accompanying userspace libraries for state-of-the-art Ethernet and RDMA networking technologies.

Own the teams technical execution, roadmap, prioritization, and delivery while mentoring engineers and fostering technical excellence.

Collaborate closely with architecture, firmware, hardware, validation, DevOps, product, and customer-facing teams across the globe to deliver robust and scalable networking solutions.

Lead complex debugging and performance investigations across the Linux networking stack, working with both internal stakeholders and open-source communities.

Ensure high software quality through strong engineering practices, code reviews, automation, and continuous integration.

Be part of an experienced organization with a collaborative culture, solving challenging problems that power next-generation AI, cloud, and high-performance computing infrastructure.

With the growing demand for traffic bandwidth in datacenters, efficient physical high-speed communication becomes a crucial part of the development of silicon ASCs that serve networking infrastructures. We are looking for a PHY (Physical Layer) Architect for our Architecture team. We are positioning you to a key role to face this challenge and become part of our team, so we can continue developing the best devices in the industry.

What you will be doing:
Lead projects across team, starting from processing requirements and definitions from customers and translating those into detailed technical specification for hardware architecture, system embedded software, user interface and high-level design.
Supervise the implementation of projects by team-leaders / developers / QA, participate in low level design reviews, QA test plans reviews, and keep track of changes and handle obstacles.
Define the architecture of implementing physical layer standards into our ASIC devices.
Involved in standard bodies activities and definition of next generation protocols.
Define features for the phy layer, to exploit interoperability between different generations of communication.
Be involved in product definition and the high-speed protocols that the networking devices will support.
Work closely with multi-functional teams - design, backend, system, marketing, firmware, driver, etc. Provide architecture definitions and as a result converge on key design decisions.
Become focal point for our physical layer networking communication devices.

In this role, you will tackle one of the most critical challenges in high-performance networking: Power.

This is an opportunity to join a high-impact team at the ground floor of a subject that is becoming a top priority. You won't be writing RTL; instead, you will have a holistic impact on our next-generation switches by estimating, measuring, and debugging power across the entire chip. This is a role for an engineer who wants to grow into a power expert within the world's most innovative silicon environment.

What youll be doing:

Working with the design team to define power-aware architectural methodologies and drive power-conscious design decisions across the Switch architecture.

Leading the research, development, and implementation of Switch micro-architecture power optimizations.

Participating in silicon validation to debug power-related issues and define the chip power profile.

We are now looking for a motivated Chip Architect to use your creativity to work on the ConnectX network adapter with the highly inventive and knowledgeable team.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Work on proof of concepts and advance development projects.

Perform research and analysis for current and future architectures.

Craft product design specifications.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

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 rapidly growing into new verticals, and we are seeking a visionary Developer Relations Senior Manager to broaden our impact. In this regional leadership role, you will champion Israels growing AI ecosystem, managing a high-performing team of Developer Relations Managers.

You will lead technical projects in GenAI/ML application development, consumer internet, and embedded AI systems. Working at the crossroad of engineering, strategy, and community, you will promote our hardware and SDK offerings. This role supports faster adoption of GPU-accelerated technologies by developers, startups, and ISVs. If you are a technically fierce, highly autonomous leader who thrives in a matrixed environment and wants to build the future of AI, let's talk.

What Youll Be Doing:

Lead & Mentor: Guide, collaborate and encourage a regional team of Developer Relations Managers covering Israel's dynamic AI ecosystem.

Drive Technical Strategy: Architect and complete a comprehensive developer adoption strategy for key industries, ensuring our platforms remain the gold standard.

Build Technical Alliances: Establish deep, positive relationships with CTOs, engineering leads, startups, and ISVs within the local ecosystem.

Evangelize & Accelerate: Act as the ultimate technical mentor and focal point for the developer community. Help developers unlock the full value of our SDKs and hardware to solve complex, real-world problems.

Champion the Community: Lead our presence at targeted developer events, hackathons, and industry activities.

Bridge the Matrix: Collaborate across internal product divisions, sales geographies, solution architects, and marketing teams to align our local ecosystem strategy with global value messaging.

Join our dynamic team, responsible for managing and maintaining high-quality VLSI development infrastructure for the Backend Networking team. We seek a dedicated and driven Software Engineer eager to manage compute and storage effectively, develop scripts and automation, create dashboards and apps, leverage modern AI-assisted engineering workflows.

What you'll be doing:

Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects.

Develop and maintain scripts, automation tools, and AI-assisted workflows to streamline infrastructure tasks and improve developer productivity.

Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage.

Work closely with a remote team in Israel, ensuring smooth communication and coordination on infrastructure-related tasks.

Engage in the entire lifecycle of infrastructure tool development, including design, testing, deployment, and maintenance.

Collaborate with other team members and DA teams to implement innovative software solutions and agentic coding practices using modern AI tools.