Jobs in Ra'anana

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 Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle — from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality. What you’ll be doing: • Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities • Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS. • Architect and deliver LLM-based tools for intelligent regression analysis — failure classification, root cause clustering, anomaly detection, and test flakiness prediction • Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling • Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane 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 testing tools and tests infrastructure • Strong Python programming skills; experience building production-quality automation frameworks and tooling • Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent) • Hands-on experience with LLMs or AI-assisted developer tooling — building, integrating, or productizing AI capabilities in an engineering workflow • 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 • Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment • Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking • Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization • Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment

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 • 5+ 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.

We are building the next generation of verification infrastructure for complex networking and distributed systems. We are looking for a software engineer with strong hands-on experience in test automation and system verification, combined with practical experience applying AI to engineering workflows. This is a hands-on verification role. You will validate product features, develop automated tests, maintain CI and regression coverage, and build deep domain expertise in networking and telemetry. In parallel, you will build agentic workflows that understand product changes, plan coverage, generate and execute tests, analyze failures, and provide engineers with trustworthy, actionable results. What you'll be doing • Own the end-to-end verification of product features, including requirements analysis, risk assessment, test planning, system-level validation, automated test development, execution, and release readiness. • Build and maintain Python-based test infrastructure, CI pipelines, and regression suites, continuously improving coverage, reliability, execution time, and the quality of engineering feedback. • Develop deep domain expertise in networking, telemetry, and distributed systems, and use it to investigate complex failures across the product, test automation, and lab environment. • Design and build agentic verification workflows that analyze product and code changes, plan test coverage, select or generate tests, execute them, observe results, and perform controlled diagnosis and correction loops. • Turn expert verification practices into repeatable and measurable workflows, integrating agents with source control, requirements, CI/CD, issue tracking, lab orchestration, and observability systems while defining test oracles, guardrails, human approval points, evaluation, and tracing. What we need to see • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. • 3+ years of software engineering experience, with significant hands-on work in test automation, system verification, test infrastructure, or related areas. • Deep, production-grade Python expertise, including type-safe data modeling, clear APIs and tool contracts, automated testing, static analysis, performance-aware implementation, and mechanisms for validating and monitoring AI-generated code. • Experience testing complex product features and building production-quality automation, CI pipelines, and regression environments, together with strong debugging skills and knowledge of Linux, Git, APIs, containers, and modern software engineering practices. • Hands-on experience building reliable LLM-based or agentic workflows beyond the prototype stage, including tool integration, code generation or modification, execution and feedback loops, controlled corrective actions, evaluation, guardrails, observability, context management, and prompt or model versioning. Ways to stand out from the crowd • Experience with networking, telemetry, distributed systems, data center infrastructure, or hardware and software integration. • Experience building system-level verification frameworks, large regression environments, test labs, topology orchestration, or traffic-generation systems. • Experience validating high-scale data ingestion, observability pipelines, metrics, logs, traces, or other telemetry-intensive systems. • Experience with agent-driven change-impact analysis, test selection, failure clustering, root-cause analysis, automated debugging, or flaky-test management. • A track record of turning engineering or AI prototypes into reliable capabilities adopted by multiple engineers or teams, combined with a strong systems mindset and a practical approach to establishing correctness. With competitive salaries and a generous benefits package, 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. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you.

NVIDIA Networking BU is looking for Senior Software Program Manager that will be responsible for software programs and projects. The PM should drive planning and execution of FW/SW projects while aligning with corporate priorities and constraints. NVIDIA Mellanox Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration. What you'll be doing: • You will manage the networking software programs for NVIDIA next generation AI Data centers • Responsible to coordinate between all project stakeholders such as marketing, engineering teams in IL and around the world, operations, etc. from initial requirements definition through Architectural stage, execution, and delivery. • Develop and execute feature planning and prioritization of perception capabilities to meet the software programs' needs • Identify risks, gaps, and bottlenecks in time, and find resolution with technical leaders and project management • Work with product managers, architects, and engineers to ensure consistency with company strategy, commitments, and goals What we need to see: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or related field • Expert with software project management methodologies and tools • 8+ years experience in software project management or leadership • Experience in software development over hardware/Silicon products • Technical orientation, including the ability to conduct technical discussions • Teammate, independent, responsible, capable of multi-tasking, ability to drive people and tasks • Excellent verbal and written communication skills with English proficiency • Ability and willingness to work in a dynamic environment and flexible hours, with teams all over the world Ways to stand out from the crowd: • Experience with program management tools, preferred AI tools • Networking background • Experience in multiple groups coordination • Familiarity with SW Agile concept 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 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.

NVIDIA is looking for a Senior HPC AI Cluster Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you! What you will be doing: • Deploy, manage and maintain large scale HPC/AI clusters • Managing Linux job/workload schedules and orchestration tools • Support and maintain continuous integration and delivery pipelines • Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level • Supporting Research & Development activities and engaging in POCs/POVs for future improvements What we need to see: • Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience • 5+ years of experience • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc. • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies. • Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops • Knowledge of Networking Protocols like InfiniBand, Ethernet • Experience with virtual systems (for example VMware, Hyper-V, KVM) • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud) Ways to stand out from the crowd: • Knowledge of CPU and/or GPU architecture • Knowledge of Kubernetes, container related microservice technologies • Experience with GPU-focused hardware/software (DGX, Cuda) • Background with RDMA (InfiniBand or RoCE) fabrics NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all #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 fueled by great technology—and amazing people. We are seeking a Network Solution Verification Manager to join our R&D organization, leading the validation of 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 build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure NVIDIA's networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers. What you'll be doing: • Leading and managing a team of network validation engineers responsible for end-to-end validation of NVIDIA's customer-facing networking solutions at scale, using a dedicated E2E simulation cluster environment. • Defining the overall validation strategy and roadmap — establishing simulation methodologies, test coverage frameworks, and quality gates that align with product milestones and customer use cases. • Pioneering the use of agentic AI flows within the validation organization — leading the team to design, build, and operate AI-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new test cases, and implementing validation code. These agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale test coverage and respond to emerging quality signals without manual intervention. • Overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes. • Establishing a rigorous regression analysis culture — guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders. • Serving as the primary validation partner to Design, Architecture, and NCS teams — translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction. • Analyzing customer-reported networking solution issues, driving test gap analysis, and ensuring robust regression coverage that prevents recurrence. • Staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities. 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 experience in a leadership or management role, leading software or hardware validation/test engineering teams. • 7+ years of overall experience in network validation, network testing, or systems verification. • Proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on background in Python-based automation. • Strong understanding of regression analysis methodologies — ability to drive actionable conclusions from large-scale test result datasets and translate them into engineering improvements. • Demonstrated ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-timezone environment. • Strong verbal and written communication skills, with experience presenting validation strategies and quality metrics to senior leadership. Ways to stand out from the crowd: • Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching). • Experience with network simulation or emulation environments (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms) and the ability to guide teams in leveraging them effectively. • Experience managing validation of 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. • Prior experience with customer-facing solution validation or translating customer use cases into structured simulation and test scenarios. 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 strong leader passionate about networking, simulation, and building world-class validation organizations, 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 an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. NVIDIA is one of a kind company, crafting the future of computing and challenging the existing conventions. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU with the groundbreaking networking technology for the age of AI. What you’ll be doing: • Develop DevOps tools using NVIDIA, proprietary and open source technologies to help build better CI/CD workflows across NVIDIA. • Craft efficiency and usability improvements across NVIDIA product development environments to streamline release pipelines and processes across the company. • Be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability. • Design and build sophisticated automations and AI powered applications. What we need to see: • Bachelor's/Master’s degree in computer science or computer engineering or equivalent program • 5+ years of proven experience • Expert development ability in at least one scripting language (e.g. Python, Groovy or similar) • Profound understanding of the Linux operating system. • Deep understanding of containerization and cloud technologies architecture. • Outstanding problem-solving and critical thinking abilities. • Ability to self-manage, lead technically, and communicate effectively. Ways to stand out from the crowd: • Expertise in version control systems (e.g. Git, GitLab, GitHub, Gerrit) • Expertise with Jenkins or similar. • Strong interests towards groundbreaking technologies • Ability to take initiatives and drive them across multiple functional teams. • Familiarity with CSPs infrastructure and tooling. 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. If you're creative and autonomous, we want to hear from you!

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: • Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. • Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. • You will be responsible for the design releases required generation of artwork files, ODB++, and electronic PCB documentation. • Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: • B.Sc. in Electronic Engineer degree or equivalent experience. • 5+ years of experience in high-speed design. • Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. • Be an authority in using Cadence Allegro PCB design tools. • Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. • Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling. • Proven ability to work with a team while taking personal responsibility for your own contributions. • Agility in changing focus as the needs of our effort evolve. • Strong leadership, communication, and presentation abilities. Ways to stand out from the crowd: • Experience in crafting PCBs in the 25gbps + range using back-drilling technology. • Designing sophisticated multi-layer HDI PCB's for very dense placement and routing is helpful. 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. If you're creative and autonomous, we want to hear from you!

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing • Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. • Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. • Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. • Participate in architecture discussions, API design, technical proposals, and code reviews. • Build reliable, scalable infrastructure software for next-generation AI workloads. • Write clear technical documentation and design proposals. What we need to see • B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. • 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. • Deep understanding of Kubernetes and the cloud-native ecosystem. • Experience extending, building, or contributing to Kubernetes-based solutions. • Strong communication skills and the ability to collaborate across engineering teams and open-source communities. • Curiosity, adaptability, and an interest in learning AI infrastructure. Ways to stand out from the crowd • Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects. • Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles. • Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes. • Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems. • Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale. If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA's R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software—from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging. We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk! What you'll be doing: We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we: • Review architectural designs and requirements for new features introduced to the product • Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases • Develop Python automation suites built on clean OOP principles • Chase down defects and validate fixes until we fully resolve the root cause • Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives What We Need to See: • Combined network engineering depth with thorough software habits • 5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS • Production-quality Python engineering—specifically, strong OOP design and hands-on experience with Pytest • Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively • Clear verbal and written communication, with professional proficiency in written and spoken English • B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background Ways to stand out from the crowd: • Experience with Docker and traffic generation tools (Ixia, TRex, Scapy) • Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI) • Working knowledge of virtualization platforms (KVM, VMware)

Our team in Israel is looking for a Senior Hardware Validation Engineer to join the board design Hardware Team. The team leads the development of networking infrastructure for NVIDIA’s next-generation data centers, focusing on accelerated performance and optimized end-to-end GPU connectivity. We are looking for a hands-on and detail-oriented Practical engineer with strong lab skills, who enjoys working in a dynamic, multidisciplinary environment. What you’ll be doing: • Perform board bring-up, validation, and debugging activities in the lab • Operate lab equipment such as oscilloscopes, power supplies, logic/spectrum analyzers, and multimeters • Support hardware investigations by reading schematics, analyzing layouts, and completing test procedures • Document test results and communicate findings clearly to engineering teams • Work closely with electrical, mechanical, thermal, and system engineers throughout the development cycle What we need to see: • B.Sc. in Electrical Engineering or relevant education or equivalent experience • At least 5 years of hands-on experience in a hardware lab environment • Proven experience with lab equipment and board-level debugging • Ability to understand schematics and PCB layouts • Strong problem-solving skills and teamwork mindset • Good technical English for reading datasheets and writing reports Ways to stand out from the crowd: • Experience working with high-speed interfaces (PCIe, Ethernet, SerDes) • Familiarity with thermal/mechanical test setups • Experience with test automation • Background using bug tracking or PLM tools 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.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and amazing people.As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.NVIDIA is looking for a hardware architecture engineer to join the hardware team! Hardware team responsible for full execution of systems, adapters and interconnect for AI cluster deployments. What you'll be doing: • Lead hardware next generation end-to-end definition and architecture (Switch,interconnect, adapter) • Define form factor selection; SI, power and thermal consideration, and channel optimization (Mech/thermal/cluster layout) • Align hardware systems and chip design teams toward unified definition • Combine understanding of hardware end-to-end in parallel with Software aspects • The position requires working closely with different Engineering and Operations teams • A “Hands On” enginer who is familiar with new technologies and can take a task from scratch to completion with ease! What we need to see: • B.Sc. or M.Sc. degree in electronic engineering or equivalent experience • 12+ years of board/system design related development experience • Experience development in mass production environment • Familiarity with optics technology • Experience in Ethernet networks • Familiar with new PCB/power/ASIC technologies • Ability to take new technology into execution and lead technical task forces • Familiar with system design tools Ways to stand out from the crowd: • Design for manufacturability /reliability/cost/performance High speed design :28G and above • Experience working with key customers/vendors on strategic technologies 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. If you're a creative manager, with a real passion for managing teams to deliver cutting-edge processors, we want to hear from you! Come, join our CPU Architecture team, and help build the real-time, cost-effective computing platform driving our success across multiple quickly growing fields ranging from the data center to autonomous vehicles.

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 • 2+ 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 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, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution. • Bring independent analysis, communication, and problem-solving to customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 5+ years system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software. • Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies. • Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: • Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). • Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). • Experience with SRv6 technology, HPC, low-latency systems and performance tuning. • Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. • Experience with AI coding tools, AI agents, etc.

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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an expert Software Manager to own the DOCA Networking Data Plane team in engineering industry-leading Virtual Switches. Managing a team of senior engineers, you will address modern networking challenges across both high-density AI (E/W) and external (N/S) workloads. Your goal: leverage the NVIDIA DOCA SDK and SmartNIC architecture to achieve orders-of-magnitude speedups while maintaining full software flexibility. What you'll be doing: Manage the team both personally and professionally, with focus on research & development of networking features. This role allows you to not only mentor and lead team members, but also to be hands-on and engineer the next generation technology in this domain as well as working with world class technical leaders in this field. What we need to see: • B.Sc. (or equivalent experience) in computer science / software engineering with 8+ years of overall experience, with 2+ years of team lead/management experience • 5+ years’ experience of Programming C/C++ • 3+ years’ experience in Linux environment and tools • Deep experience of Networking Protocols mainly Ethernet • Strong analytical, debugging and problem-solving skills • Deep knowledge in computer architecture and operating systems Ways to stand out from the crowd: • Experience with virtualization and cloud native technologies • Experience in performance optimizations • Open Source Software Contributor to relevant projects (OVN Kubernetes, OVN, OvS, DPDK, Linux Kernel) • Hands-on experience with HW offloads 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 unprecedented 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 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 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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA’s Networking AI Platforms Security group is redefining silicon and networking security for next-generation, high-performance infrastructure. We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment. What you'll be doing: • Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards. • Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks. • Partner across NVIDIA with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security. • Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions. • Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs. • Represent NVIDIA in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems. What we need to see: • B.Sc., M.Sc., or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience. • 7+ years of experience in silicon security, SoC architecture, embedded systems security, or a related field. • Proven hands-on experience architecting and implementing hardware roots of trust, secure boot, attestation, secure lifecycle and debug mechanisms, and key provisioning. • Strong foundation in applied cryptography at scale, including hardware trade-offs, PKI, key and identity management, post-quantum cryptography, and encryption technologies. • Hands-on experience architecting secure hardware–firmware interfaces for SoCs and embedded devices. • Deep understanding of high-performance networking protocols and their end-to-end security implications. • Strong communication and influencing skills, with a proven ability to drive initiatives in a fast-paced organization. Ways to stand out from the crowd: • Experience influencing industry security standards or collaborating with cloud customers and external partners on hardware and end-to-end networking security architectures. • A proven track record of taking innovative security technologies from research and architecture through implementation and deployment in production silicon. • Deep expertise in securing high-performance networking protocols and fabrics, including Ethernet, InfiniBand, and NVLink, with a strong understanding of the switch’s role in end-to-end confidential computing and trusted execution environment architectures. With highly competitive salaries and a comprehensive benefits package, 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 and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, 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. 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 www.nvidiabenefits.com/

The team leads the development of networking infrastructure for NVIDIA's next-generation data centers, focusing on accelerated performance while enabling optimized end-to-end GPU connectivity, focusing on datacenter-level optimized solutions for AI. As a leader of our switch Hardware Engineering team, you'll guide, encourage, and drive a team of highly skilled hardware engineers, providing them with stimulating and ambitious assignments and enabling them to stay creative and motivated while delivering products on schedule. What You'll Be Doing: • Build the best team to design and execute high-performance switch system from concept to mass production. • Be a key member of the technical leadership team developing world-class switch designs. • This position is hands-on and will require a deep understanding of all technical/engineering aspects of the project with intimate familiarity with the entire development flow. From a technical standpoint, you will lead and support engineering teams in the following areas: specification definition, electrical schematics, opto-mechanical design, component selection, layout guidance, hands-on lab testing, production processes, qualification workflows, micro-architecture development, verification, characterization, design for testability, cost optimization, reliability, and more. • Collaborate with and integrate all HW project disciplines: Board Design, Assembly Process, Mechanics, Thermal, PCB Layout, Process , Production Engineering, Software/Firmware, Procurement, NPI, and more. • Plan and oversee your team’s work on multiple simultaneous development projects in coordination with the broader leadership team. Manage direct reports, set goals, provide coaching, conduct performance appraisals, plan careers, and make compensation recommendations. • Collect, examine, and filter requirements from internal customers such as marketing, software, and systems engineering to assemble a comprehensive plan of record for next-generation switches while planning resource allocation for projects and assign team members effectively. • Schedule projects, create realistic outcome estimates, and drive timely, successful execution for high-volume manufacturing. What We Need to See: • A Bachelor's or Master's degree in Electrical Engineering. • 10+ overall years of industry experience in architecture, design, and methodology for cutting-edge board design development. • 6+ years of technical design management experience. • Proven experience in leading multi-disciplinary projects, multi-layer, high density PCB design. • A deep understanding of broadband high-speed ICs. • The ability to provide insight and guidance on trade-offs between power, performance, manufacturability, thermals, cost to meet product requirements. • Proven experience with leading execution of highly complex and innovative designs in tight schedule with risk mitigations and detailed planning for first time success. • Strong interpersonal and communication skills, with the ability to quickly build relationships, prioritize conflicting needs, and align teams effectively. Ways to Stand Out From the Crowd: • Experience in designing data-center networking products for high-volume manufacturing. • Experience with optoelectronics and optical communication systems. NVIDIA is widely considered 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. If you're a creative manager with a passion for leading teams to deliver cutting-edge high speed optical communication solutions, we want to hear from you!

NVIDIA is looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMX product line. What you'll be doing: • The team develops infrastructure for controlling, monitoring and gathering telemetry from production environments, running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. • Our team works closely with other engineering teams to co-design new features and software APIs What we need to see: • B.Sc. or equivalent experience in computer science / software engineering. • 5+ years’ experience in Programming in Python and C/C++. • 3+ years’ experience in Linux environment and tools. • Expert knowledge in computer architecture and operating systems. • Experience in performance optimizations. Ways to stand out from the crowd: • You have positive attitude and work well with others. • Demonstrated use of creative ideas, providing solutions to challenging problems. • Deep knowledge of Networking Protocols (InfiniBand, Ethernet). NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are growing fast. If you're a creative and autonomous manager with a real passion for technology, 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. #LI-Hybrid

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: • Developing a highly optimized inference framework • Running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: • B.Sc. or equivalent experience in Computer Science or Software Engineering • 5 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs • Background in parallel programming / high-performance computing / RDMA technology At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere passion for technology, 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 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.

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.