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We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

We are adding a third DevOps engineer to increase delivery capacity, reduce single-person risk on critical systems, and grow our database infrastructure capability from within. If building resilient cloud and on-prem systems at scale sounds like the right challenge, we'd like to hear from you.

What you'll be doing:

Design, build, and operate Kubernetes infrastructure across Azure AKS and on-prem clusters, including ingress, autoscaling with Keda, TLS management, and GPU-enabled workloads.

Extend and harden CI/CD pipelines in GitLab, manage runners across multiple environments, and evolve GitOps-based deployments through ArgoCD.

Maintain and improve the critical on-prem infrastructure - Linux servers, NGINX, container platforms, and networking - that several production workflows depend on.

Partner with development, data, and architecture teams to streamline delivery, improve observability across Datadog, and shorten time-to-recovery during incidents.

Contribute to flagship initiatives on the roadmap: per-site Kubernetes cluster rollouts, AKS upgrades and node pool reorganization, GPU cluster enablement, and secret management with Azure Key Vault, and Sealed Secrets.

Automate provisioning and configuration across Azure resources and on-prem systems using infrastructure-as-code and scripting.

Troubleshoot across the full stack - from networking and certificates to container runtime and pipeline internals - turning incidents into durable improvements.

We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, which enables our products to meet the industry-leading benchmarks of 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 an ideal candidates who will be actively involved in testing industry-leading features in the FW sector, able to rapidly acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems.

What you'll be doing:
Review arch design and requirements documents for new features introduced in several domains like Switch/HCA/NVL/Linkx FW.
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.
Conduct tests in various areas, including regression, performance, functional, and security. Keep track of testing progress and generate summary reports of testing activities.
Fully collaborate with different external teams like : :product marketing, R&D, and verification.
Define and build setups topologies for appropriate product coverage.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads.


What Youll Be Doing:

Build automated verification tests in a simulated environment for high-end hardware and software.

Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors.

Enhance product quality by improving test coverage and developing comprehensive verification strategies.

We are looking for best-in-class Chip Design Verification Engineer to join our outstanding Networking Silicon Engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in verifying our ground-breaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What youll be doing:

Work as a Chip Design Verification Engineer as part of a combined design and verification team that develops front-end design for the Switch silicon, GPU and HCA.

Plan and Design Verification units/blocks according to Arch & Micro arch specifications under challenging constraints with high orientation to power, area, and performance.

Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, and FW-interaction with organization-wide groups.

We are looking for an excellent Firmware Design Engineer for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry!

What youll be doing:

Working on the most Ground breaking technology for building AI infrastructure.

Design and develop PHY-layer firmware for our latest networking devices, improving performance and reliability in our next-generation products.

Enabling new SerDes and physical linkup flows.

Work closely with the architecture, HW, and SW design teams.

Define implement and maintain FW algorithm to control the Silicon.

Develop and test FW on emulation & simulation environments during the Pre-silicon phase.

Debug and screen HW/FW/SW issues.

Take an active part in silicon bring-up and SW development phases.

Lead data-driven discussions about the product functionality and areas for improvement.

As a growing startup, this role will continue to evolve, and were looking for team members who are comfortable building operational processes that scale with the company.

The Operations Lead is responsible for end-to-end execution of customer deployments, owning all non-engineering aspects of delivery across pilots, initial deployments, and scaled rollouts. This role operates within a cross-functional scrum led by a Field Deployment Engineer (FDE), ensuring projects are delivered on time, at quality, and at scale.

Responsibilities:

Own end-to-end deployment execution, including planning, timelines, and rollout strategy
Drive project plans, milestones, and execution tracking across multiple workstreams
Manage field operations, installers, vendors, and site readiness
Coordinate cross-functional teams (Engineering, Product, Sales, Customer Success)
Act as the operational point of contact for customers during deployments
Identify and mitigate risks, ensuring on-time delivery and high-quality execution
Own logistics and onsite readiness for pilots, deployments, and rollouts
Build scalable processes, templates, and best practices for deployment operations

We are seeking a talented Product Hardware Engineer to become part of our top -class Networking Silicon engineering team, where we design and develop some of the most advanced high-speed optical communication devices in the industry. This is your opportunity to be part of an exceptional company with an inspiring work culture, where you will play a key role in ensuring the reliability and peak performance of our cutting-edge optical products. Widely regarded as one of the most attractive employers in the technology landscape, we bring together some of the brightest and most passionate minds in the field. Are you creative, self-driven engineer who is up for the challenge?

What you will be doing:

Work with Design and Manufacturing Engineering teams to develop the most robust test solution for mass production.

Full responsibility for electrical specification, schematic design, components selection and layout considerations for our testing platforms.

Developing test plans and coverage for future / current products.

Work with process groups to improve or resolve test/yield/quality issues after release.

HW lab debug.

Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. Our Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:
Drive hands-on safety and security research on a range of AI and networking products.
Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats.
Participate in defining and ensuring AI development processes meet safety and security standards.
Partner with cross-functional teams to understand needs and implement solutions.
Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.

Were looking for a strong backend engineer to join us in building disruptive technology in the IoT space. As part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of IoT through innovative software solutions.

Responsibilities:

Design solutions for data intensive pipelines, considering large scale, high availability, security, robustness, performance, multi-cloud and multi-tenancy
Provide high standard architecture, design and implementation
Work with cross-functional stakeholders such as product management, additional SW engineers, architects and team leads
Excel at all facets of the development life cycle: Requirement Analysis, Coding, Quality, CI\CD, TDD, Integrations, Deployment, Monitoring
Maintain highly reliable production operation

Our Interconnect Networking Product Engineering team is looking for an excellent hardware engineer with strong coding, analysis, and debugging skills. This role requires a deep understanding of both hardware and software to develop robust test capabilities and processes. You will drive efficient integration and provide engineering support for production testing of cutting-edge product technology. You will help ensure reliable, efficient production tests with high coverage and strong outgoing product quality.

What youll be doing:

Characterize and develop test processes of advanced interconnect products.

Play a key role in the development and bring-up of advanced hardware test solutions supporting next-generation interconnect products.

Develop embedded software capabilities packages to support various of advanced power components and Digital\ Analog ICs

Cooperate with multidisciplinary design and analysis teams for bring up, performance optimization and seamless production integration.

Lead test solution innovations to reduce test time, costs and improve overall product quality.

Develop software solutions to find, debug, and resolve problems in the production and bring-up processes.

Collaborate with overseas manufacturing and mass-production teams to improve yield, test coverage, and capacity, and to resolve production issues.

Lead advanced studies of product behavior under a wide range of system and environmental conditions.

Our Networking System Product Engineering team is looking for an excellent Test Design and Validation Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. The position combines design and hands-on infrastructure development, implementing and maintenance of sophisticated tools that improves development workflow and overall productivity.

 

What youll be doing:

Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage.

Exposed to various aspects of design, DFT, and test of our next-generation network products.

Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems.

Utilize test suites to find, debug and resolve problems with production process.

Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment.

Supporting and fix bugs of existing code. Supporting production lines for: deployments, patches, maintenance.

Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures.

Execute tests in different scopes such: regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity.

We are looking for a highly skilled Advanced Development Engineer to join the Software Architecture Team. In this hands-on role, you will shape the future of large‑scale data centers through advanced simulation, high‑scale telemetry, and next‑generation infrastructure solutions. You will work at the frontier of technology - exploring, prototyping, and proving new concepts - and turn them into scalable, production‑ready foundations. Your work will span large‑scale telemetry pipelines, data integrity at extreme scale, and advanced simulation frameworks used to model, validate, and optimize complex data‑center environments.

As part of the Architecture team, you will directly influence cross‑company platforms and long‑term technology direction, while actively contributing code, frameworks, and ideas. You will also have opportunities to participate in and contribute to open‑source projects and communities.

What you'll be doing:

Discover, evaluate, and prototype emerging technologies with a strong focus on simulation, scale, and system behavior modeling.

Design, implement, and evolve high‑scale software systems integrated across the full Data Center life‑cycle.

Build advanced simulation solutions to model data‑center behavior, telemetry flows, failure scenarios, and system performance at scale.

Define and expand large‑scale telemetry and observability pipelines, ensuring accuracy, consistency, and traceability of data.

Incorporate new and diverse data sources to continuously extend the capabilities of a centralized, petabyte‑scale Data Lake.

Collaborate closely with engineering, architecture, and research teams across us to translate business and technical requirements into robust, scalable solutions.

Work side‑by‑side with architects and data scientists to design, validate, and evolve data and simulation architectures.

Contribute to defining the architecture of next‑generation monitoring, analytics, and simulation platforms for hyperscale data centers.

Extend existing platforms and actively contribute code, designs, and leadership to Open Source projects and communities.

Join design teams working on large, real-world digital products.
Design user flows, UX definitions, and interfaces within existing design systems.
Translate product and user needs into clear structures, journeys, and screens.
Explore and validate ideas through sketches, prototypes, and experiments.
Use AI throughout your design thinking process: research, ideation, variation, validation, and iteration.
Learn how complex products are designed, shipped, and scaled over time.
Collaborate closely with other designers, product managers, and developers.