Jobs in Ra'anana

Description #LI-Hybrid About Us DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. Location: Ra'anana / Tel Aviv The Role: We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms. If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems — we want to hear from you! Responsibilities: • Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure). • Manage and evolve virtualization platforms such as VMware and KVM (Proxmox). • Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices. • Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization. • Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI. • Automate infrastructure provisioning, configuration, monitoring, and operational workflows. • Build and maintain internal tools to improve developer experience and engineering productivity. • Ensure system reliability, performance, and cost optimization across cloud and on-prem environments. • Maintain high security standards, compliance, and operational best practices. • Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments. • Develop and maintain clear technical documentation. Requirements • 5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments. • Strong hands-on experience with cloud platforms (AWS and Azure). • Proven experience with VMware / Nutanix / KVM environments. • Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management. • Strong Linux administration skills. • Solid scripting abilities (PowerShell, Python, Bash, or similar). • Experience with automation and Infrastructure as Code tools (e.g., Terraform — advantage). • Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate — advantage). • Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI). • Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault. • Ability to work in high-pressure, mission-critical environments. • Business-level English (written and spoken). Advantages: • Experience with Kubernetes, Docker, and containerized environments. • Knowledge of CI/CD pipelines and DevOps methodologies. • Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA). • Advanced networking knowledge (routing, switching, VPNs). • Experience with large-scale networking, telco, or cloud infrastructure environments. Soft Skills: • Strong service orientation and communication skills. • Independent problem solver with a proactive mindset. • Team player with excellent time management skills. More about DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ;

Description About DriveNets DriveNets is transforming the way the world builds networks. Our Network Cloud software is revolutionizing the networking industry by disaggregating hardware and software, enabling scalable, cost-effective networks for top-tier service providers and hyperscalers. Job Summary We are seeking an exceptional and highly experienced Senior System Engineer to join our elite HW R&D team. This role is suited for a seasoned professional (15+ years of experience) in the networking and telecommunications industry, with a proven track record in multi-platform system architecture, hardware/software integration, and deep protocol-level understanding. The ideal candidate will lead and define end-to-end system behavior across multiple layers, ensuring alignment between hardware platforms and software stacks. You will work closely with internal and external stakeholders to define detailed system specifications, drive platform validation, and ensure our solutions are reliable, efficient, and meet the demanding requirements of service providers. Key Responsibilities System Architecture & Design • Own the end-to-end system architecture across various DriveNets platforms (routing, switching, timing, and synchronization platforms). • Define and maintain system-level functional specifications and engineering requirements documents (ERDs), covering HW-SW interfaces, thermal, mechanical, power, and performance constraints. • Evaluate and drive platform-level trade-offs (e.g., performance vs. power, scalability vs. complexity). • Collaborate with hardware design, software architecture, thermal, and mechanical teams to ensure cohesive system integration. • CPU selection, boot methodologies, FW upgrades, IC programming, etc. Technical Leadership • Act as the technical authority on system behavior, network feature interaction, and platform compatibility across various ASIC vendors. • Drive design reviews, providing critical input on system-level implications and interactions. Detailed Specifications & Documentation • Develop comprehensive and structured documentation: platform requirement specs, interface control documents (ICDs), test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides. • Create and maintain clear, accurate, and implementation-ready specifications to be used by hardware, software, validation, and operations teams. Thermal, Power & Mechanical Integration • Analyze and approve cooling methods and thermal design requirements (airflow, heat sinks, thermal interface materials, etc.). • Analyze power distribution planning, and integration with PSU/voltage regulator designs. • Work closely with mechanical engineering Requirements • 15+ years of experience in the networking/telecom industry, in roles spanning system engineering, hardware-software co-design, platform architecture, and test strategy. • Proven track record of delivering carrier-grade networking systems or data center-scale platforms. • Deep technical expertise in Ethernet switching, IP routing, timing/synchronization, high-speed interconnects, and network processor architectures. • Strong background in thermal/power/EMI/ESD/EMC requirements for telecom hardware. • Fluent in writing clear, structured, and highly detailed technical documents (e.g., platform specifications, RFPs, ICDs, user guides). • Familiarity with compliance standards and regulatory certifications (NEBS, RoHS, CE, etc.). • Excellent verbal and written communication skills – able to work cross-functionally and influence across teams and disciplines. Familiar with the following concept/Basic Knowledge SI/PI, HSIO, and LSIO Expertise • Serve as the go-to authority for Signal Integrity (SI) and Power Integrity (PI) across all platform designs: • Review pre-layout and post-layout simulations using SI/PI tools. • Provide technical guidance on High-Speed IO (HSIO) interfaces including: • SerDes, PCIe, 1G/…/100G/400G/800G/1600G Ethernet, and high-speed backplane interfaces. • Specify Low-Speed IO (LSIO) interfaces such as I2C, SPI, UART, and GPIO, ensuring robust control-plane integration and manageability. Nice to Have Testing & Validation Strategy • Define system-level test plans, platform qualification strategies, and test automation coverage. • Review and approve test reports, debug logs, and validation reports to ensure product readiness. • Participate in platform bring-up and root cause analysis across HW/SW boundaries. Why Join DriveNets? • Be part of a revolution in networking—DriveNets is leading the transition from legacy routers to cloud-native, scalable solutions. • Work alongside industry experts and contribute to next-gen service provider platforms. • Influence architectural decisions at scale and drive complex, high-impact systems from definition to deployment. • Enjoy a collaborative, fast-paced environment with plenty of room for innovation and growth.

Description About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are seeking an experienced and multifaceted Mechanical NPI & Manufacturing Engineer to own mechanical systems engineering, manufacturing transfer, advanced packaging, and thermal/liquid cooling integration across our high-performance networking portfolio. In this role, you will lead end-to-end mechanical execution from late-stage R&D through volume manufacturing at global EMS/ODM facilities. Your scope spans chassis-level systems up to full-rack scale integration, custom packaging/palletization design, and advanced data center liquid cooling architectures. You will serve as the technical authority for mechanical quality, supplier qualification, transit reliability, and production line optimization. Key Responsibilities • NPI Transfer & Manufacturing Execution: • Lead seamless NPI-to-mass-production transfers, cataloging & verifying BOM completeness, 2D/3D drawing releases, and fabrication readiness for standalone switches and fully integrated rack systems. • Author, validate, and maintain detailed Mechanical Assembly & Process Instructions for global contract manufacturing lines. • Define together with R&D precision assembly parameters: torque specifications, fastening tooling, screw tightening sequences, and structural assembly guidelines. • Design, validate, and commission mechanical assembly jigs, alignment fixtures, and high efficiancy tooling to ensure repeatable line assembly. • Advanced Packaging, Palletization & Logistics Engineering: • Design and validate primary and secondary packaging solutions, including custom cushioning (EPE/EPP foam), corrugated structures, and chassis transit protection. • Define ESD shielding, Moisture Barrier Bags (MBB), and desiccant requirements for high-sensitivity optical and electronic assemblies. • Optimize palletization patterns, container cube utilization, stacking strength calculations, and pallet weight distribution for global freight. • Plan, execute, and certify transit/drop testing in accordance with international standards. • Manage day-to-day shipping deviations, packaging waivers, and disposition of in-transit damage. • Labeling & Regulatory Compliance Integration: • Design unit, carton, and pallet labels; select and qualify label substrates, adhesives, and print ribbons for environmental durability (abrasion, high temperature, humidity, UV resistance per UL standards). • Manage the physical integration and placement of global regulatory markings on chassis surfaces, rating plates, and packaging. • Thermal Management & Liquid Cooling Architecture: • Address mechanical-thermal integration challenges within high-power chassis and optical cages . • Oversee mechanical validation and assembly of Liquid Cooling systems for high-density compute/switching gear, including cold plates, manifolds, quick disconnects , hoses/piping routing, fluid loop integrity, and leak detection mechanisms. • Evaluate Thermal Interface Materials (TIMs), clamping force distribution, and flatness tolerances across high-power ASICs. • Supplier Quality, Sourcing & On-Site Audits: • Qualify mechanical fabrication vendors, sheet metal suppliers, precision machine shops, and server/telecom rack manufacturers. • Conduct on-site factory and supplier capability audits across Tier-1 EMS and ODM sites (evaluating stamping, CNC, die-casting, plating, painting, and assembly environments). • Review and sign off on First Article Inspections (FAI), packages, CMM dimensional reports, and material certifications . • Define Incoming Quality Control (IQC) inspection plans for mech items, Critical-to-Quality (CTQ) dimensions, and AQL sampling standards. • Production Support, Failure Analysis & Sustaining Engineering: • Provide active mechanical line support, quickly resolving production line stops, component mismatches, and Material Review Board (MRB) dispositions. • Lead mechanical Failure Analysis (FA), root-cause investigations , and implement robust mech Corrective/Preventive Actions. • Drive cost-reduction redesigns. • Qualify mechanical second sources to mitigate single-point supply chain risks. • Author and manage Engineering Change Orders (ECO/MCO), BOM updates, and CAD revisions for mech items within the company PLM system. • Mechanical Reliability & Environmental Qualification: • Plan and execute mechanical stress testing. Requirements • Education: B.Sc. in Mechanical Engineering. • Experience: 6+ years of mechanical engineering experience in NPI, manufacturing, and sustaining environments within the networking, telecommunications, server, optics, or data center hardware industries. • System Integration Scope: Proven experience managing both box-level / chassis and Rack-level integration. • Data Center & Optical Familiarity: Hands-on experience with high-density Ethernet switches, fiber-optic routing, optical transceivers, and high-speed PCB mechanical constraints. • Thermal & Liquid Cooling Knowledge: Practical knowledge of mechanical liquid cooling architectures (cold plates, distribution manifolds, dripless quick disconnects, fluid routing, and leak mitigation). • Packaging & Logistics Expertise: Demonstrated track record in custom PE/box packaging design, pallet optimization, and transit qualification. • CAD & PLM Proficiency: Expert in 3D CAD modeling (SolidWorks), and Proficiency with enterprise PLM systems (Agile, Arena). • Quality & Manufacturing Tools: Proficient in FAI sign-offs, CMM reports, AQL sampling, torque validation, and 8D failure analysis methodologies. • Communication & Mobility: Excellent English technical communication skills; willingness to travel periodically to overseas manufacturing and vendor sites (EMS/ODM/Mech Suppliers) for line audits, bring-ups, and ramp support.

Description Location: Ra'anana #Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. Job Summary: What You'll Do: • Build, lead and mentor the ACO E2E QA team; own the quality of every ACO release from test planning to Go/No-Go sign-off. • Define the E2E test strategy, test plans (STP/STD/STR) and acceptance criteria for ACO features based on requirements and design documents, and present them to R&D and Product. • Lead manual end-to-end testing of ACO across its UI/UX, REST APIs, database-backed workflows and the real infrastructure it manages: switch provisioning and upgrades, inventory and topology, telemetry, alerts, configuration compliance, benchmarking and multi-tenancy. • Own and maintain the QA lab environments: AI fabric topologies (leaf-spine, DNOS and multi-vendor switches), GPU servers, NetBox/SLURM/Kubernetes integrations and the ACO deployments themselves (single server, HA cluster, cloud). • Validate network connectivity, configuration and performance across the AI cluster infrastructure: high-speed Ethernet (400/800G/1.6T), GPU nodes, leaf-spine topologies, VLAN/VXLAN, IP addressing, MTU, link status, routing and packet loss. • Verify BGP routing functionality (neighbor establishment, route advertisement, route propagation and convergence) and EVPN/VXLAN-based isolation on data-center fabrics. • Execute and analyze AI/HPC benchmarks (RDMA, NCCL/RCCL, MPI, RoCE, training/inference, storage) on GPU and CPU clusters through ACO's benchmarking engine; compare results against established baselines and report deviations. • Validate telemetry collection (gNMI/OpenConfig, syslog, GPU and NIC exporters) for accuracy, consistency and reliability against device state and live traffic. • Drive the defect lifecycle: reproduction with evidence, prioritization, root-cause investigation with developers, fix verification and regression; publish clear quality reports and release-readiness metrics. • Define and execute the automation roadmap, moving the team from manual E2E testing to automated API, UI and device-level test suites integrated into CI. • Make AI agents part of the team's daily work (test design, execution, evidence collection, reporting) and set the practices for AI-assisted QA. • Represent QA in planning, agile ceremonies, customer escalations and field deployments. Requirements What We're Looking For: • 3+ years of experience leading QA engineers (hiring, mentoring, planning, delivery) on top of 5+ years of hands-on QA. • Minimum 3 years of application testing across UI/UX, database-backed data and multi-step workflows in web-based systems, including test design from detailed requirements. • Networking knowledge at CCNP level or higher: L2/L3 switching and routing, BGP, VLAN/VXLAN/EVPN, MTU/MSS, ECMP, and troubleshooting with packet captures and device CLI. • AI networking: data-center fabrics for AI workloads – leaf-spine and rail-optimized Clos designs, RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), 400/800G/1.6T optics and link health. • GPU clusters: running, monitoring and optimizing AI workloads and benchmarks (NCCL/RCCL, RDMA, MPI, training and inference) on NVIDIA/AMD GPU servers, with schedulers such as SLURM or Kubernetes. • Strong hands-on experience in Linux environments (CLI, networking stack, services, logs, scripting). • Hands-on experience working with AI agents in daily engineering work: agent skills, rules/instruction (markdown) files, MCP servers and tools, and prompt-driven workflows (e.g., Claude Code, Codex, Cursor). Advantages: • QA automation experience (Python, pytest, Playwright/Selenium, REST API testing, CI pipelines). • Kubernetes and containers (kubectl, Helm, Lens/OpenLens, Argo CD; monitoring pod status, reading logs, troubleshooting). • Cloud deployments (AWS/Azure/GCP, e.g., EKS). • Databases: SQL querying and data validation (PostgreSQL). • Familiarity with network operating systems (DNOS, SONiC, Arista EOS, Junos), observability stacks (Prometheus/Mimir, Grafana/Perses, gNMI) and traffic generators (Spirent/Ixia). Soft Skills: • Proven leadership: builds a team, sets priorities, makes decisions and owns outcomes. • Excellent interpersonal and communication skills with R&D, Product, Support and customers. • High-level proficiency in English (both written and verbal) and clear technical writing. • Self-starter who learns quickly and adapts easily to new technologies. • Ability to work under tight deadlines and manage multiple priorities. • A strong team player with a collaborative mindset. Why Join Us? • Build the QA team of a new product – DriveNets' AI Cluster Orchestrator – used to deploy and run some of the most demanding AI infrastructures. • Work hands-on with state-of-the-art AI infrastructure: 800G/1.6T Ethernet fabrics, NVIDIA and AMD GPU clusters, RoCE and collective communication. • Join an AI-native engineering culture where agents are part of the daily workflow. • Collaborate with brilliant minds in a dynamic and supportive work environment. • If you're ready to take the next step in your career and work with a world-class team, apply now! •

Description Senior Hardware Project Manager Location: Raanana #LI-Hybrid About Us: DriveNets is a leader in disaggregated high-scale solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade . This solution accelerates deployment, improves the ’s economic model, and radically simplifies operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&T’s traffic now runs through a disaggregated core powered by DriveNets software. DriveNets Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, DriveNets continues to deploy the most innovative infrastructure and is looking for the most talented people to be part of this journey. The Role DriveNets is seeking an experienced Senior Hardware Project Manager to lead and coordinate complex hardware development projects across multiple product generations. This role requires exceptional project management skills combined with a strong technical understanding of hardware development processes. The successful candidate will maintain an end-to-end view of ongoing and future hardware activities, ensuring alignment between engineering execution, business priorities, resource allocation, and product roadmap objectives. The Senior HW PM will work closely with Hardware Engineering, Product Management, ASIC teams, Mechanical Engineering, Validation, Operations, Supply Chain, Manufacturing, and Executive Management to drive execution excellence and successful product delivery. Responsibilities Project Planning & Execution • Lead multiple concurrent hardware projects from concept through production release. • Build, maintain, and drive detailed project plans, schedules, milestones, and deliverables. • Define project scope, timelines, dependencies, and critical paths. • Monitor project progress and proactively address execution gaps. • Drive accountability across cross-functional teams to ensure timely delivery. Portfolio & Roadmap Management • Maintain a comprehensive view of all hardware projects, interdependencies, resource constraints, and roadmap priorities. • Coordinate planning activities across current product development and future platform initiatives. • Identify schedule conflicts and resource bottlenecks and drive resolution plans. • Support strategic planning activities and hardware roadmap execution. Cross-Functional Leadership • Coordinate activities across: • Hardware Design • PCB Development • ASIC Integration • Mechanical Engineering • Signal Integrity / Power Integrity • Validation & Testing • Operations & Manufacturing • Supply Chain • Product Management • Facilitate effective communication and decision-making between stakeholders. • Ensure alignment between technical teams and business objectives. Risk & Issue Management • Identify project risks, dependencies, and execution challenges early. • Develop mitigation and contingency plans. • Drive issue resolution and escalation management. • Ensure project readiness for major milestones, including: • Architecture Reviews • Design Reviews • EVT • DVT • PVT • Manufacturing Release • Customer Deliveries Executive Reporting & Governance • Establish and maintain project dashboards and status reporting mechanisms. • Provide regular updates to engineering leadership and executive management. • Drive project review meetings and decision forums. • Present project health, risks, mitigation plans, and recovery strategies. Why Join DriveNets • Lead execution of industry-leading networking hardware projects. • Work with world-class engineering teams developing next-generation networking infrastructure. • Influence both current product deliveries and future platform strategy. • Be part of a company redefining the future of networking. Requirements • B.Sc. in Electrical Engineering. • 10+ years of experience in project management within hardware development organizations. • Proven track record managing large-scale, multidisciplinary hardware projects. • Strong understanding of hardware development lifecycles from architecture through production. • Experience coordinating cross-functional engineering organizations. • Strong planning, organizational, and execution skills. • Excellent communication, leadership, and stakeholder management capabilities. • Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications • Background in hardware engineering or technical product development. • Experience in networking, telecommunications, cloud infrastructure, or data center systems. • Familiarity with high-speed networking platforms, switching systems, and optical technologies. • Experience working with ASIC-based systems and complex board-level designs. • Understanding of manufacturing, NPI, and supply chain processes. • Experience working with ODMs, CMs, and global development teams. • PMP certification or equivalent project management qualification. The successful candidate will: • Maintain a holistic end-to-end view of all hardware projects and future initiatives. • Anticipate risks and execution challenges before they impact delivery. • Successfully balance short-term execution needs with long-term strategic goals. • Create visibility, predictability, and accountability across the hardware organization. • Drive collaboration across engineering, operations, and business teams. • Enable successful delivery of highly complex networking hardware platforms.

NVIDIA Networking team is looking for an outstanding candidate who thrives in a multifaceted environment, to manage exciting SW Releases for our leading FW, SDK and NOS Switch products. Taking care of world-class technologies in the areas of Data Centers, cloud, software defined networks, security for the most sophisticated markets and customers. The Switch products supports Ethernet and InfiniBand protocols, delivering a broad range of sophisticated networking, storage, and security services for the cloud, sophisticated compute and AI workloads. The candidate will need to ensure the release is delivered on time and in high quality, coordinate between development and testing groups and between global SW groups. In addition the role will require to gain good understanding of products dependencies. What you’ll be doing: • Be an effective leader in crafting and driving a delivery high quality SW in an efficient way. • Partner with Engineering, Operations, Architecture and Marketing to coordinate the release of the products and ensure release will meet the schedule and with high quality • Take full ownership on the FW, SDK, NOS products from the kickoff to signoff. • Work with planning and tracking systems to lead the release progress, and build release indicators. • Partner with the QA teams to ensure alignment of all tests between the development, verification and QA groups. • Conduct release meeting and communicate release status. Resolve issues when they appear and raise red-flags when needed. • Collaborate with teams across the globe to drive process changes that can help improve development and release workflow. • Define and improve process, guidelines, checklists across Switch SW group. What we need to see: • Bachelor's or Master’s degree or equivalent experience in Computer Science or industrial Engineering. • Proven experience as a Release manager or SW project leadership with 8+ years of overall experience. • Great interpersonal skills with multi-tasking abilities. • Working in an independent and organized way. • Excellent problem-solving, analytical thinking and critical thinking abilities. • Ability to self-manage, self-start, lead technically and communicate effectively. • Experience in leading global projects. • Proficiency with tools such as MS Excel, Atlassian Confluence, enterprise ticket system e.g. Redmine, Jira, TFS Ways to stand out from the crowd: • Proficiency with BI tools e.g. MS PowerBI • Good technical knowhow and familiarity with Networking and Cloud technologies • Experience with Agile software development methodology and practices • Linux OS technologies knowledge • Github knowledge NVIDIA is widely considered to be one of the technology world’s most desirable employers. 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 design team in the industry! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Our HW team in Israel is looking for an experienced System Engineer to join the Hardware Switch Group. The team leads the development of networking infrastructure for NVIDIA next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity. What you'll be doing: • CPO (Co Package Optic) Switch System architecture and design from concept to mass production • Define the HW requirement, HW arch, board partition and lead electro-optic-mech concept. In addition - design/review HW aspects such as schematics, component selection, layout, opto-mechanics, DFM/T • Collaborate and integrate with all HW project fields: Board Design, Mechanics, Thermal, Production, Software/Firmware, RTL and more • The position consists of hands-on testing in lab environment for electrical and optical integration & validation, including problem solving while accompany production and qualification process What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ years as a System/Hardware Engineer, experience in design and integration of complex HW projects execution • Hands-on lab and HW & SW Tools skills • Proven experience as technical leading multi-disciplinary projects • Comprehensive understanding of RTL implementations (CPLD/FPGA) • Excellent interpersonal relationship and demonstrated ability taking ownershi Ways to stand out from the crowd: • Experience in data-center switches products design and validation & verification for high volume manufacturing • Experience in optic system, design, debug and testing NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS.At NVIDIA, we have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have NVIDIA Switch products running with SONiC NOS in production in different clusters over the world. About SONiC: https://sonicfoundation.dev/ What you'll be doing: • Design and implement features as part of the SONiC release train on top of NVIDIA Switch products. • Be part of NVIDIA 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. What we need to see: • B.Sc. degree in Computer Science or equivalent experience • 3+ overall years of experience in technical software development • Experience in C++ and Python programming on top of Linux operation system • Fast and self learner with outstanding communication and technical skills • Motivated, responsive, and keen on process improvement Ways to stand out from the crowd: • Experienced in software development on open source project • Experienced in Networking protocols: L2 and L3 • Background in Linux shell scripting • Scrum methodology and active scrum master Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: • Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). • Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. • Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. • Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. • Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. • Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. • Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. • Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and application layers. What we need to see: • B.Sc. or BA in Computer Science, Engineering, or a related field, or equivalent practical experience. • At least 10 years of overall experience in IT / systems administration, including extensive hands-on work with Linux/Unix environments. • At least 3 years of experience in a managerial or team-lead position within IT, lab, or infrastructure teams. • Vast experience with Linux/Unix system administration, including installation, configuration, troubleshooting, and performance tuning. • Demonstrable experience collaborating with engineering organizations (R&D, QE, Verification, etc.) and supporting their infrastructure needs. • Solid experience with data center and lab management, including server, network, and storage equipment deployment and lifecycle. • Demonstrated experience in procurement and vendor management for infrastructure hardware and software. • Proficiency in automation and scripting (e.g., shell, Perl, Ansible) for provisioning, configuration, and operational tasks. • Hands-on experience with monitoring and alerting solutions for infrastructure and services. • Strong debugging skills and experience resolving complex, cross-domain technical issues. Ways To Stand Out From The Crowd: • Experience with Kubernetes (K8s) in on-prem or hybrid environments. • Hands-on work with Slurm, HPC clusters, and large-scale compute environments. • Background in HPC, large-scale Linux clusters, or performance-sensitive engineering environments.

NVIDIA is looking for an excellent Software Engineer to join the InfiniBand Switch and NVLink FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge? What you will be doing: • As a Senior Software Engineer at NVIDIA, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology. • Develop the verification process, aligning with quality standards and project timelines. • Design and implement new features in the core of NVIDIA Switch and GPUs • Drive and facilitate the planning, scheduling, and execution of the project and activities of the team • Collaborate with architecture and different software design teams as part of the software development lifecycle. • Work in pre and post-silicon development environments of next-generation NVIDIA networking products. • Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship. • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view What we need to see: • B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering • 2+ years of relevant overall professional experience • Proficient knowledge of C++, Python. • Experience with Embedded SW development. • Strong analytical, creative, debugging, and problem-solving skills. • Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements. • An excellent teammate with good interpersonal skills. Ways to stand out from the crowd: • Knowledge of network protocols. • Background with CI methodology & tools (Git, Gerrit, Jenkins etc.) • Background in Linux internals NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Senior Software Architect to help define and drive the future of AI Factory Digital Twin platforms through DSX Air, an infrastructure simulation platform that enables users to create digital twins of their data centers. As a senior technical leader, you will define architectures, frameworks, APIs, and data models that connect real-world infrastructure with virtual environments for development, validation, planning, and operations. You will define the software architecture connecting physical infrastructure with virtual environments for development, validation, planning, and operations. Working across hardware and software teams, you will enable developers to build and test solutions before next-generation hardware becomes available. We seek an architect who combines platform vision with deep software expertise and carries technical decisions through implementation and delivery. What you'll be doing: • Define DSX Air’s architecture, including simulation frameworks, platform services, APIs, infrastructure models, and telemetry integration. • Define shared frameworks, interfaces, and interoperability standards that connect Digital Twin initiatives across NVIDIA. • Guide detailed software design, using hands-on prototypes and technical investigations to resolve critical challenges. • Define simulation fidelity and validation requirements, with results validated by reference to actual physical setups. • Partner with Engineering to integrate simulation into development and automated testing, enabling earlier issue discovery. • Shape the platform roadmap and drive architectural decisions through delivery and adoption, balancing performance, scalability, security, and maintainability. What we need to see: • MSc in Computer Science, Computer Engineering, or a related field, or equivalent experience. • 8+ years in software architecture and technical leadership, delivering complex distributed platforms. • Deep software engineering expertise across distributed systems, platform frameworks, APIs, and secure cloud-native architectures. • Proven understanding of virtualization and infrastructure technologies, including hypervisors, Kubernetes, and container networking. • Understanding of large-scale data-center infrastructure and automation, with hands-on experience validating architectural choices through prototypes. • Ability to translate platform strategy into practical engineering decisions, align teams, and drive execution. • Clear technical communication, strong ownership, and attention to detail. Ways to stand out from the crowd: • Experience developing simulation, emulation, or Digital Twin platforms. • Hardware/software co-design experience enabling development before hardware availability. • Deep understanding of AI factory compute and networking systems. • Experience developing shared frameworks adopted across products and engineering teams. • Experience validating simulation fidelity against physical systems. With competitive salaries and a generous benefits package, NVIDIA is widely regarded as one of the technology world’s most desirable employers. We offer the opportunity to work with some of the most forward-thinking engineers in the industry, and due to outstanding growth, our engineering teams continue to expand.

NVIDIA is powering the world’s most advanced AI Factories. Keeping them running depends on NVIDIA’s AI Ops platform for large-scale AI infrastructure — continuously ingesting telemetry from GPUs, NICs, switches, and links across the fleet, and delivered both as a high-scale SaaS service and as self-contained on-premises software for enterprise customers. We are looking for a Senior Software Engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of GPUs. This role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness. What you’ll be doing: • Build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards. • Own deployability across Kubernetes, cloud, on-prem, and restricted or air-gapped environments. • Design and improve the mechanisms that make the system installable and supportable at scale: Helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling. • Partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400. • Improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments. • Turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies. • Help evolve the platform from legacy deployment models toward a modern Kubernetes-based operational model. What we need to see: • B.Sc. or M.Sc. in n Computer Science, Computer Engineering, or a related technical field (Courses, Eligibility, Fees & Verified Programs), or equivalent practical experience. • 5+ years of software engineering experience in platform, infrastructure, runtime, or deployability-focused roles. • Hands-on experience with Kubernetes and production deployment tooling such as Helm, operators, or GitOps workflows. • Strong programming and automation skills in one or more of Go, Python, Bash, or similar. • Experience shipping software that other organizations install and operate themselves. • Practical experience with distributed systems and production services that fail independently and must remain correct under partial failure. • Strong debugging skills across Linux, networking, containers, and service runtime behavior. • Experience with CI/CD, release engineering, environment validation, or infrastructure-as-code. Ways to stand out from the crowd: • Experience delivering software into on-prem, customer-controlled, or air-gapped environments. • Experience with Kubernetes deployability at scale, including upgrades, rollback, configuration management, and day-2 operations. • Familiarity with telemetry, observability, monitoring, or AI/HPC infrastructure. • Experience turning operational pain points into productized solutions: pre-install validation, deployment standards, support tooling, or automated recovery paths. • A systems mindset: you can move comfortably between code, runtime, infrastructure, and customer reality.

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, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads. What You’ll Be Doing: • Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products. • End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation. • System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools. • Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools. • Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery. • Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators. • Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions. What We Need to See: • Bachelors/master’s degree in computer science or computer engineering, or equivalent experience • 5+ years of experience in software testing, QA automation, or software engineering. • Strong proficiency in Python and scripting for automation. • Solid experience with Linux-based environments, including system tools and command-line utilities. • Proven understanding of computer networking and modern Linux operating systems. • Familiarity with software testing, integration, and system validation practices. • Excellent problem-solving, critical thinking, and communication skills. • Ability to work independently, manage multiple tasks, and drive technical initiatives. • Great interpersonal skills, agility, and determination for success. • Fluent English; strong presentation and public speaking abilities. Ways to Stand Out from the Crowd: • Deep technical know-how and familiarity with networking protocols or low-level system tools. • Experience with Docker, KVM, or other virtualization technologies. • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana). • Experience with large HW+SW systems and advanced Linux OS technologies. • Proficiency with GIT, Bash, and other scripting languages. If you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! Join us and work alongside some of the most forward-thinking and dedicated professionals in the industry. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across NVIDIA Networking products. In this role, you’ll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across NVIDIA and the broader SONiC community. You’ll help lead the development of new SONiC networking features and chassis management capabilities across NVIDIA Networking products. We’re looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment. What you’ll be doing: • Design, integrate, and deliver new features as part of the SONiC release train across NVIDIA Networking products. • Develop networking and chassis management capabilities for next-generation platforms. • Work in a Continuous Deployment environment with fast development and deployment cycles. • Collaborate with experienced teams across NVIDIA Networking and with members of the broader SONiC open-source community. • Develop high-quality, production-ready code that is published and reviewed in leading open-source environments. • Take ownership of features from design and implementation through integration and delivery. What we need to see: • B.Sc. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. • 3–5 years of software development experience. • Understanding of networking concepts and protocols. • Experience with C++ and Python • Experience using AI development tools or building AI agents. • Strong technical problem-solving skills and the ability to learn new technologies quickly. • A collaborative mindset with strong communication and interpersonal skills. Ways to stand out from the crowd: • Hands-on experience with L2 and L3 networking protocols. • Experience with SONiC, SAI, or other open-source networking projects. • Experience with Rust. • Familiarity with Linux and shell scripting. • Experience working with Scrum or other Agile development methodologies. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law. #LI-Hybrid ​

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 3+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are now seeking a highly motivated Software Verification Manager to join our Switching group, working on SONiC Network OS. In this role, you will manage SONiC Verification team that will develop automatic tests and lead Regression analysis for SONiC OS running over switches. What you’ll be doing: • Lead and mentor SONiC Software verification team; set technical direction, define priorities, and grow team capabilities • Design and implement robust, maintainable, and efficient automated test suite for SONiC OS which is an open-source NOS • Lead regression analysis for SONiC NOS following regression automated tests • Cross-functional work with SONiC Design teams, QA, architecture, FW/SDK/SAI/platform teams What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams • Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence • Experienced with developing software automated tests • Strong Python programming skills • Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent) • Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions Ways to stand out from the crowd: • Deep Linux expertise: system internals, networking stack, process management, and scripting • Expertise in routing protocols • Experience with AI tools (Agents, Skills) With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA is 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 NVIDIA’s 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 you’ll 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. What we need to see: • B.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field. • 1-3 years of hands-on experience in the field of QA testing • Strong understanding of software testing methodologies, test planning, and bug lifecycle. • Hands-on experience in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms. • Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs). • Strong analytical and debugging skills with an eye for detail. • Clear verbal, proficient written and spoken English Ways to stand out from the crowd: • Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals. • Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows). • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence. • In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies. • Exposure to QA methodologies, release management, and end-to-end test lifecycle. Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation fueled by great technology—and amazing people. We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating NVIDIA's customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment. In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation — designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure NVIDIA's networking solutions meet the highest standards of quality and real-world applicability before reaching customers. What you'll be doing: • Designing and implementing end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment. • Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes. • Performing deep regression analysis on simulation results — identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams. • Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code — continuously learning from simulation results and product changes to accelerate coverage without manual intervention. • Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams. • Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction. • Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression. • Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field. • 3+ years of hands-on experience as a software developer. • Strong proficiency in Python for test automation, tooling development, and pipeline implementation. • Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms). • Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale. • Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar) and practical ability to apply them to validation and test generation workflows. • Strong command of regression analysis methodologies — able to triage, classify, and extract actionable conclusions from large-scale test result datasets. • Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills. Ways to stand out from the crowd: • Hands-on experience validating data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos topologies). • Familiarity with NVIDIA networking products — BlueField DPUs, ConnectX NICs, Spectrum switches, or the DOCA software stack. • Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching). • Hands-on experience building agentic pipelines for automated test generation, result triage, or validation code synthesis — including prompt engineering and tool-use patterns for LLM agents. • Prior exposure to customer-facing solution validation or translating customer deployment scenarios into structured simulation test cases. With competitive salaries and a generous benefits package, NVIDIA is widely recognized as one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and our engineering teams continue to grow rapidly to meet extraordinary demand. If you are a technically driven engineer passionate about networking, simulation, and pushing the boundaries of AI-assisted validation, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status, or any other characteristic protected by law.

NVIDIA is looking for a Data Analytics Manager to join our Software Architecture team. We turn data from AI factories into insights that shape architecture decisions and improve cluster performance, reliability, and efficiency. You will lead our analytics team and own internal initiatives from identifying user needs through delivery and adoption. A central focus will be building and deploying AI agents for analytics—enabling architects and engineers to explore data, investigate sophisticated questions, and act on trusted findings. We seek a leader who combines analytical depth, product judgment, and the ability to turn ideas into capabilities people use. What you’ll be doing: • Hire, mentor, and lead an analytics team, setting technical direction, priorities, and standards for analytical quality. • Partner with architects, engineering, and cluster operations to define critical questions and lead analyses that explain system behavior, uncover bottlenecks, and quantify architectural tradeoffs. • Own the roadmap for internal analytics initiatives, translating user needs into requirements, priorities, and measurable outcomes, and driving delivery and adoption. • Lead the development, evaluation, and deployment of AI agents for data exploration, analytical reasoning, and automated investigation, contributing hands-on as needed. • Deliver reusable analytical capabilities, intuitive tools, and dashboards that support engineering and operational decisions. • Partner with data engineering to ensure the data coverage, quality, and context needed for reliable analysis and effective AI agents. What we need to see: • BSc./MSc. in a relevant technical field or equivalent experience. • 8+ overall years in data analytics or related technical roles • 4+ years leading and developing a team. • Strong hands-on expertise in SQL, Python, and distributed data platforms. • Experience building AI-powered analytical tools or agents, with methods for validating their accuracy and reliability. • Demonstrable ability in framing ambiguous problems, validating findings, and driving technical initiatives from requirements through delivery and adoption. • Excellent communication and prioritization skills, with the ability to align stakeholders across domains and influence decisions through evidence. Ways to stand out from the crowd: • Experience analyzing GPU-cluster telemetry, infrastructure performance, or reliability. • Experience in technical product management or ownership of internal data products. • Familiarity with semantic data models that connect infrastructure entities, telemetry, and operational context. • Experience deploying agents that combine data queries, statistical analysis, and domain knowledge, with demonstrated impact on users’ work. We offer competitive compensation and a comprehensive benefits package, with benefits varying by location. You’ll work alongside architects and engineers tackling complex challenges in AI infrastructure, with the opportunity to build a team and shape how we use AI and data to design better systems. We’d love to hear from you! NVIDIA is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations for candidates with disabilities throughout the application and interview process. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. At NVIDIA, we have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have NVIDIA Switch products running with SONiC NOS in production in different clusters over the world. About SONiC: https://sonicfoundation.dev/ What you'll be doing: • Design and implement features as part of the SONiC release train on top of NVIDIA Switch products • Be part of NVIDIA 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 What we need to see: • B.Sc. degree in Computer Science or equivalent experience • 8+ overall years of experience in technical software development • Experience in C++ and Python programming on top of Linux operation system • Fast and self learner with outstanding communication and technical skills • Motivated, responsive, and keen on process improvement Ways to stand out from the crowd: • Experienced in software development on open source project • Experienced in Networking protocols: L2 and L3 • Background in Linux shell scripting • Scrum methodology and active scrum master Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.