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We are looking for a Chip Design micro architect for the Networking Silicon group. As a chip micro architect in our Networking business unit, you will join a group of passionate engineers to implement the next generation state-of-the-art BlueField DPU SOC and/or ConnectX NIC that deliver breakthrough networking, security, cloud, AI and storage performance to the AI data centers. As a design micro architect, you will make a real impact in a dynamic, technology-focused AI company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:
You will be part of a small and exclusive micro-architecture team and have the opportunity to make a real impact in designing the micro-architecture of the next generation state of the art network card hand in hand with the product architect making sure implementation meets the product goals.
Work closely with architecture and design teams to thoroughly understand system requirements and identify micro-architecture solutions, while weighing trade-offs related to performance, area and power consumption.
Break high-level arch requirements into lower-level design building blocks. Focal point for the design team, reviewing implementation and guiding the team.
Find bottlenecks early in the development cycle using performance analysis and simulations.
Use your understanding of the entire chip and system to identify and debug pre and post silicon full-chip issues.

The position involves joining the Infrastructure team as an IT Manager, in a full-time, onsite role based in Tel Aviv, responsible for the company's internal systems, employee devices, and office infrastructure. This is a highly independent, self-driven role that at times requires running things on your own, with strong ownership. The role is global in scope, working closely with our teams in the US.

Responsibilities include managing SaaS-based IT services and identity/access administration, provisioning and maintaining employee laptops, and overseeing the company's basic office infrastructure, while collaborating with Security, People, and Engineering to keep the organization's IT foundation reliable and secure.

we are seeking an experienced Software Engineer to join our growing R&D team in Tel Aviv, reporting to the Engineering team manager. As part of this role you will, design, develop, and deliver high-quality, scalable, reliable, and extensible products. Work within our multidisciplinary R&D teams (Software Engineers, Linguists and NLP Research Engineers) and with the Product Management team.

This is an exceptionally exciting time to join a real AI company - when the very foundations of NLP are being redefined in front of our eyes. youll be at the forefront of that transformation, helping to shape the next generation of AI systems that are not only cutting-edge but also deeply impactful.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIAs strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What youll be doing:
Troubleshoot incoming support requests in a large-scale HPC environment.
Contribute improvements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.
Ensure compute servers are running an accurate Operating System and configuration.
Address Complex Issues: Perform comprehensive issue resolution from bare metal to application level, ensuring system reliability and efficiency.
Collaborate with specialist teams to drive issues to closure.
Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.
Directly contribute to the overall quality and improve time to market for our next generation chips.

We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, helping NVIDIA products meet industry-leading benchmarks for efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards.


We are looking for ideal candidates who will actively test industry-leading features in the FW sector, quickly learn new features, conduct both manual and automated testing, and contribute to the development of automation systems.


What you'll be doing:
Review arch design and requirements documents for new features introduced in the Nvlink program.
Join the effort of QA shift left towards simulation for NVL7 generation.
Design, develop, and perform tests for the new features, as part of FW GA or update releases.
Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Fully collaborate with different external teams like : :product marketing, R&D, and verification.
Define and build setups topologies for appropriate product coverage.

Job Description
Responsible for the design, development, implementation, and maintenance of automated TEST systems and equipment for company products, from the development stage through production.
Key Responsibilities
* Design and development of TEST systems according to product requirements:
* Define projects, including design approval, budget, and timelines.
* Develop automated tests, hardware, and software, and perform troubleshooting.
* Responsible for documentation, technical instructions, SOW, ATP, and related documents.
* Full responsibility for replication of existing TEST equipment, including procurement, assembly, integration, and testing.
* Provide Technical Support and troubleshooting for production lines and at subcontractors.
* Participate in Design for Testability (DFT) activities throughout the product development process.

Reports to:
ATE team leader

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

We are looking for a Technical Lead to join our Network System Validation group and lead the validation of advanced networking solutions across complex AI cluster environments. This is a deeply hands-on technical leadership role, combining ownership of the validation roadmap with technical mentoring and engineering excellence. You will develop validation methodologies and automation frameworks, while working hands-on on debugging, performance analysis, and cutting-edge AI networking technologies at scale. Join us to help push our networking technologies to their limits and shape how next-generation AI infrastructure is validated.

What youll be doing:

Review system and product requirements, design validation methodologies, develop and implement comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution

Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes

We are looking for a Senior Software Engineer to join the DOCA SDK Verification team. The DOCA 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 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.

We are looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies.

As a design engineer in the DFT design team, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals.



What you'll be doing:

In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies.

As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production.

Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks.

our company's product is built around an AI agent that security analysts and detection engineers work with directly. It investigates coverage questions against live enterprise security data, authors and tests detection logic, and tunes noisy alerting.
That agent is already in production with enterprise design partners. Now we need to make it dependable and scalable enough for GA.
You will own that evolution: the agent architecture, its evaluation and quality system, and the production engineering around it. This is a hands-on senior IC role with real architectural authority - you set the technical direction and you write the code.
The agent operates inside customer security environments, where a wrong action can become a customer incident. Correctness, isolation, observability, and evaluation are not polish. They are the product.
What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

We are looking for a Senior Support Engineer to join our Israel-based support team. This role is critical to maintaining excellent service for our English and Hebrew-speaking customers, handling complex technical and customer-facing issues independently, and helping the team adapt to the next generation of AI-enabled support workflows.
The ideal candidate is a strong hands-on problem solver, an excellent communicator in Hebrew and English, and a senior team player who can elevate team quality, partner closely with leadership, and contribute to improving our internal tools, AI-based workflows, and support processes.
This is a hands-on senior individual contributor role with broad impact. In addition to resolving complex customer issues end to end, this person will help shape how support operates in an evolving environment that increasingly includes automation and AI-assisted workflows and tools.
Why this role matters:
Israel is a critical support hub for our business. Some of our customers require high-quality support in Hebrew, especially in complex or sensitive cases where local language, context, and live communication are essential.
At the same time, the support role is becoming more complex. AI-based tools and automation are becoming part of daily work, raising the bar for ownership, judgment, adaptability, and cross-functional collaboration. We need a senior team member who can thrive in this environment, help the team adopt new ways of working, and contribute to improving the tools and processes we use.
What youll do:
Own complex technical and product-related support cases from investigation through resolution.
Provide high-quality support to customers in Hebrew and English across written and live interactions.
Handle ambiguous, high-impact, or cross-functional issues with strong judgment and minimal supervision.
Act as a senior point of contact for escalations, sensitive customer situations, and priority cases.
Mentor teammates by sharing knowledge, setting a high bar for case handling, and helping improve team practices.
Use AI-based tools and internal tools effectively in day-to-day work to improve speed, quality, and consistency.
Help to define, maintain and improve support agents, AI-assisted tools, bots, workflows, automations and documentation to improve support effectiveness.
Identify opportunities to reduce friction, improve self-service, and optimize internal support flows.
Collaborate with Product, R&D, Customer Success, TPE, and other internal stakeholders to resolve issues and improve the customer experience.

our company's platform runs inside the security stacks of enterprise customers, processing live detection and telemetry data from SIEM, EDR, and SOAR systems at real scale. Until now, infrastructure has been built and carried by the founding engineering team alongside everything else. You will be the first dedicated owner of it. That means designing our company's cloud foundation across GCP and AWS, building the deployment, scaling, and observability layers from the ground up, and setting the standards the rest of engineering builds on. It also means holding a bar that most startups can defer and our company cannot: we sell to security teams who audit their vendors seriously, so how we run our own infrastructure is part of how we win. This is a hands-on senior role with real architectural authority, and as engineering grows you become the person others learn cloud and infrastructure from.
What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.