Nvidia

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.

We are looking for a Senior Opto-mechanical failure analysis expert to join our mechanical engineering department as a key player in the development of next generation high-performance Telecommunication solutions for data centers. This key position includes close interaction with HW, NPI, Thermal, Layout, Quality and Supply chain teams. NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading 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 sectors including high performance computing, enterprise, data centers, cloud computing 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 focused 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: • Lead multidisciplinary investigations for advanced opto-mechanical and electro-mechanical products, including PCB/PCBA assemblies and complex system integrations. • Drive debug activities, perform hands-on root cause analysis on field returns, reliability failures, manufacturing defects, and system-level issues using analytical and laboratory techniques. • Join and lead task forces to investigate and support production excursions, failure analysis and reliability issues • Work closely with Mechanical, Electrical, Signal Integrity, Thermal, Reliability, and Manufacturing Engineering teams to identify corrective and preventive actions. • Perform and drive mechanical simulations of components and assemblies to support failure analysis, root cause investigations, and product design optimization • Develop failure analysis methodologies, documentation standards, and best practices to improve product robustness and reliability. • Present technical findings and recommendations to cross-functional engineering and management teams What we need to see: • B.Sc. in Mechanical Engineering / Physics / Material Engineering or higher, with 5+ years of experience in opto-mechanical and electro-mechanical product development, including PCB/PCBA design. • Strong understanding of failure analysis methodologies, root cause investigation, reliability engineering principles, and physics-of-failure analysis. • Hands-on experience debugging complex opto-electro-mechanical systems and identifying thermal, mechanical, assembly, manufacturing, and reliability-related failure mechanisms. • Experience leading complex technical investigations, including DOE execution, 8D methodology, and preparation of detailed investigation and failure analysis reports. • Strong background in mechanical simulations for components and assemblies as part of product design and failure analysis activities. • Hands-on experience with laboratory and analytical tools such as microscopy, X-ray, CT scanning, thermal imaging, strain/stress measurements, and optical lab equipment in clean room environments. • Knowledge of optical manufacturing processes, inspection methods, optical modules, fiber-optic interconnects, and multidisciplinary system integration. • Excellent hands-on experience with 3D CAD tools; Creo is an advantage. Strong understanding of manufacturability, GD&T, CTF dimensioning, and statistical tolerance analysis techniques. • Self-motivated team player with strong verbal and written communication skills in both English and Hebrew. Ways to stand out from the crowd: • Active involvement in the development of opto-mechanical telecommunication devices. • Exposure development of advanced thermal solutions such as heat-pipes, vapor chambers and liquid cooling. • Experience working in high-volume manufacturing environments with a strong focus on reliability, yield improvement, and design for manufacturability (DFM). • Experience with mechanical stress simulation tools such as ANSYS Mechanical. • Record of working with supply chains, contract manufacturers, and leading resources such as consultants, component suppliers, contractors, and manufacturing partners. 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 now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you will be doing: • Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology. • Identify architectural changes or completely innovative approaches in our cloud architecture and design. • Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment! What we need to see: • B.sc in Computer Science, Electrical Engineering or related field or equivalent experience • 8+ years of experience designing and operating large scale compute infrastructure. • Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos. • Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt. • Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud) • Strong script-writing skills: Python, Bash, Perl • Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes • Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability. Ways to stand out from the crowd: • Linux certification from a well-known vendor - RedHat, Oracle, etc. • Prior experience managing large-scale Kubernetes deployment in production. • Strong skills in modern container networking and storage architecture.

NVIDIA is looking stand out from the crowd mechanical simulations Engineer to join our outstanding Thermal Engineering team. This position will collaborate with optical, mechanical and thermal engineering in simulations, testing and design of next generation high speed communication devices. Enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. As a team, we support all products NVIDIA develops. What you will be doing: • Perform mechanical analysis for NVIDIA next generation products. • Lead new projects that's incorporate mechanical analysis and design of newly adopt thermal/mechanical solutions. • Partner with world leading vendors to develop highly challenging mechanical assemblies. • Work with various lab tools and perform challenging lab experiments. • Be exposed and work on variety of challenging mechanical designs. What we need to see: • M.Sc. in Mechanical Engineering or equivalent experience. • 5+ years of experience as a Mechanical simulations Engineer. • Experience with co-working with subcontractors and vendors. • Experience with sophisticated mechanical or opto-mechanical development and manufacturing. • Curious and creative problem solver as well organized and multi-tasker. • Hands-on experience in assembling and testing different mechanical systems. • Good English. Ways to stand out from the crowd: • Graduation with honor. • PhD graduate • Hands-on experience with Ansys and mechanical simulations of electronic devices. • Strong thermal design knowledge, including electronic thermal solutions. • Good lab skills and familiarity with manufacturing processes. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best thermal team in the industry! 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, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s Product Engineering group is looking for an experienced Electronics/System engineer to serve as a Technical Project Leader (TPL), join our organization, and be a part of the System Product Engineering organization. The team delivers brand new, high-quality products to NVIDIA's customers, applying the following: Development and deployment of automatic testers for NVIDIA’s network business units (Computing network adapters and High-speed switch systems) including hardware, software, and mechanics; Coordinating and leading all aspects of the analysis of manufacturing data to identify and mitigate quality issues using advanced data analysis techniques such as machine learning, statistical tools, and AI; Leading smooth production and capacity enlargement and failure analysis of return material from customers to understand the reason for failures ;Validating test performance and stability using QA (V&V – validation and verification) methods; The TPL leads projects from requirement until end of life; Engineering manager for SPE projects and technical authority across SPE teams What you’ll be doing: • Building integration plans, communicating status and priority among the teams (in/outside of SPE), assessing risks and developing mitigation plans • Leading the project lifecycle in the SPE group, which starts at the requirements stage, through chip design and FW stages till SPE MP, including quality and yields improvement plans • Responsible for bugs management prioritization and tracking and relevant knowledge transfer to the SPE group • Working closely with development teams for environment improvements, such as automation, and driving mitigations to reduce risks • Collaborating with PM for schedule tracking and modifications • Evaluating new technologies and testing capabilities for improvement • Working with the testing architecture team (DFT) to assure testing setups and coverage are met • Engaging with a variety of teams: R&D, HW and SW, Chip design, Operations, thermal, signal integrity, FW and SW, layout, and more, Report project status for high level management What we need to see: • BSc, MSc Electrical/System Engineering • Proven experience of 10+ years • Hands on, Integration capabilities of self-task management, vast electronic knowledge, production, and testing process know-how • Background in working with contract manufacturers and suppliers • Supervising and tracking the progress of multi-functional and personal tasks • Personal skills: proactive and self-instruction, good interpersonal relationship, multitasking, well organized, and a quick learner You will play a crucial role in shaping the future of NVIDIA's products. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you. Join us in pushing the boundaries of technology. We are committed to fostering a diverse and inclusive work environment. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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 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

We are looking for a talented Software Engineer to join the AI Solutions team in NVIDIA's Linux Networking Drivers organization. Our mission is to bring AI into every stage of how we build software: design, development, verification, debugging, and release. We build AI agents and tools that make our engineers faster and our drivers better. This is a hands-on development role in a field that changes every few months. You will turn new AI capabilities into solutions that engineers use every day, and you will help decide where AI can make the biggest difference next. If you are passionate about AI and want to apply it to a complex, real engineering domain, we want to hear from you. What you will be doing: • Design, develop, and deploy AI agents and tools for the software development lifecycle. • Work with developers and verification engineers to understand their workflows and find where AI can help most. • Measure the quality of AI solutions and improve them based on data. • Connect AI solutions to engineering systems and data, and run them reliably in production. • Follow the fast progress of AI models and tools, and bring the best of them into the team's work. What we need to see: • B.Sc. in Computer Science, Software Engineering, or a related field, or equivalent experience. • 3+ years of software development experience. • Strong Python skills. You build well-structured systems, not just scripts. • Hands-on experience building applications with LLMs, such as agents, tool use, or RAG. • Strong problem-solving skills and the ability to take a feature from idea to production. • Excellent verbal and written English. We are a multi-language team that works across sites and time zones. Ways to stand out from the crowd: • Experience evaluating the quality of LLM-based systems. • Knowledge of the Linux kernel, networking, or device drivers. • Experience with test automation or verification. • Full stack or DevOps experience. • A track record of AI tools that real users adopted. 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.

The HW PM team focuses on HW engineering development activities; managing multiple complex programs that support the development and TTM of new Networking products for datacenter segment. The role of PM organization gives an individual the principal responsibility of overseeing and coordinating the program and rollout, the mission is to cover all stages of program development, including schedule planning, resource allocation, cohesive program execution, change management, and cycle closure with post-mortems. What you'll be doing: • Track milestones, manage resources, coordinate activities, assign tasks, and lead progress. • Collaborate with cross-functional teams to address gaps and resolve issues. • Run project meetings, share updates, coordinate objectives, review projects, generate reports, and escalate to management as needed. • Identify threats, solve daily problems, and quickly implement mitigation strategies. • Optimize scheduling, logistics, staffing, testing, communication, implementation, and execution. • Assess risks, execute risk management plans, and ensure alignment with program milestones. • Report project status to leadership regularly. What we need to see: • Bachelor's degree in Industrial Engineering/ Mechanical/ Electrical Engineering, Manufacturing, Operations, Supply Chain Management and/ or other industry related field. • At least 2 years of experience in a similar role, preferably within an engineering, manufacturing/operations environment • Strong program management skills – familiar with project management methodologies and tools • Ability to interact effectively with people at all levels of NVIDIA • Good written and verbal communication skills in English • Personal skills: Team player, independent, responsible, capable of multi-tasking, ability to drive people and tasks, leadership qualities, quick learning 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 is looking for an excellent Firmware Design Team Lead for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry! What you’ll be doing: • Lead PHY NIC team • Scrum planning and management • Work closely with the architecture, HW, and SW design teams • Define and plan release deliveries • Debug and screen HW/FW/SW issues • Take an active part in SW development phases • Lead data-driven discussions about the product functionality and areas for improvement What we need to see: • B.Sc. or M.Sc. in Electrical or Computer Engineering • 8+ years of relevant experience • 3+ years of team leading • Proficient programming in C • Debugging experience and ability to investigate and triage difficult problems in embedded FW • Experience with developing the physical layer of communication protocols • Good communication skills and the ability to work with people across several countries • Excellent English verbal and written communication skills • Good understanding of analog, mixed-signal circuit operation Ways to stand out from the crowd: • PHY FW experience • Good understanding of SerDes operation • Knowledgeable of Hardware/Software Development Process • Strong collaborative and interpersonal skills, with an ability to successfully guide and influence 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. Please contact us to request accommodation. #LI-Hybrid

NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking. What you’ll be doing: • Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters • Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE) • Identify performance bottlenecks across networking, compute, memory, and system architecture • Develop and enhance performance analysis, benchmarking, and diagnostic tools • Define performance test plans and establish expectations for new technologies and platforms • Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights • Support telemetry collection and data refinement efforts to enable accurate performance analysis • Maintain high standards for data quality, reproducibility, and traceability of performance results What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience • 5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure • Demonstrated expertise in performance analysis skills and methodologies • Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control) • Strong understanding of system performance metrics (latency, throughput, resource utilization) • Exposure to hardware, firmware, or embedded telemetry environments • Strong analytical, problem-solving, and communication skills • Ability to work effectively in cross-functional, fast-paced R&D teams Ways to stand out from the crowd: • Knowledge of CUDA, NCCL internals, and congestion control algorithms • Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe • Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow • Experience with cloud platforms • Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments

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.

We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for NVIDIA's networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board! What You'll Be Doing: • Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements. • Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes. • Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications. • Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms. • Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration. What We Need to See: • Bachelor's or master's degree in electrical engineering, Computer Engineering, or Software Engineering with significant hardware/electronics coursework or hands-on experience. • 5+ years of hands-on experience in hardware-software integration, low-level driver development, or firmware development with proven ability to lead technical projects. • Strong proficiency in one or more programming languages such as Python, Java, C#, with additional experience in C/C++ for low-level programming. • Demonstrated ability to read and interpret electrical schematics, block diagrams, and hardware datasheets. • Experience with hardware debugging tools such as oscilloscopes, logic analyzers, JTAG debuggers, or similar instruments. • Excellent problem-solving skills in developing software solutions for sophisticated hardware-software interactions. Ability to collaborate with hardware teams, demonstrating deep technical ownership of hardware-software integration projects. Ways To Stand Out from the Crowd: • Hands-on experience with PCIe, I2C, SPI, UART, or other hardware communication protocols. Experience developing device drivers for Windows or Linux environments. • Background in embedded systems, microcontrollers, DSPs, FPGAs, or custom ASIC integration. Experience wrapping native C/C++ libraries into managed DLLs for .NET/C# applications. • Knowledge of hardware validation methodologies and experience with automated hardware test equipment. Previous work in networking hardware, high-speed interconnects, or semiconductor validation environments. • Strong ability to bridge communication between hardware and software teams, translating hardware requirements into software solutions. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! 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 Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading 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 sectors including high performance computing, enterprise, Data Center, cloud computing 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 focused 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 will be doing: • Drive multiple early-stage design concepts of Test Equipment & fixtures while working in fast-paced product development cycles. • Independently lead Test Equipment & fixtures design from concept, through detailed design, and support it during Bring-up, Qualification and Mass-Production phases. • Participate and lead design and design reviews of Test Equipment & fixtures by using our CMs (Contract Manufacturers) as the designers • Collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that address evolving needs. What we need to see: • B.Sc. in Mechanical Engineering or higher degree. • 5+ years of experience in classical mechanical design of mechanisms, jigs, fixtures, products and machines development. • Knowledge and experience in automation (pneumatics XYZ motion systems, etc) and in design of machining and sheet metal parts • Knowledge and experience in static analysis and simulations. • Self-motivated with a sharp learning curve and able to work independently and as a teammate • Good practice on SolidWorks or CREO CAD tools. • Open mind, challenged, creative, initiator. • Ability to manage multiple tasks and co-workers while being very well organized. • Strong verbal and written communication skills in both English and Hebrew along with strong interpersonal skills Ways to stand out from the crowd: • Background in developing liquid-cooled systems and solutions • Experience in design of precise pneumatic mechanical systems • Experience in mechanical design of electronics equipment and PCB mechanical design (IDF file exchange processes with Layout engineers) 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. At NVIDIA, we drive the evolution of innovation using AI technology, reshaping industries and delivering groundbreaking progress. As an Opto-Mechanical Engineer in the CPO group, you will be central to these initiatives, working alongside a team committed to high standards and joint effort. This position uniquely enables you to impact the development of powerful opto-mechanical systems that empower our technology, crafting meaningful change in the world. What you'll be doing: • Support developing development of opto-mechanical components and systems with precision and innovation. • Conducting assembly and testing, including fabricating the essential jigs and fixtures for smooth execution. • Collaborating closely with cross-functional teams to ensure outstanding product development. • Develop and collaborate with global vendors to ensure on time delivery of products. What we need to see: • Bachelor’s degree or equivalent experience in Mechanical Engineering • 2+ years working in the development of opto-mechanical components or systems. • Proven experience in defining and conducting tests including crafting all supporting jigs and fixtures. • Outstanding problem-solving skills and a meticulous attention to detail. • Ability to collaborate effectively in a diverse and inclusive global environment. • Excellent communication skills to articulate complex technical concepts. • Experience with CREO or Solid works 3D CAD software. Ways to stand out from the crowd: • Background with fiber optics and related components • Familiarity with SiPH and CPO technologies • Knowledge of industry standards and guidelines in electronic packaging and Si processing. • Previous work in a high-tech, fast-paced environment. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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 Mechanical Engineer to join our mechanical engineering department as a key player in the development of next generation Network products. This key position includes designing the product, close interaction with HW, PMC (Product management & configuration), NPI, Thermal, Layout, Quality and Supply chain groups. NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading 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 sectors including high performance computing, enterprise, data centers, cloud computing 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 focused 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 will be doing: • Drive multiple early design concepts while working in fast-paced product development cycles. • Independently lead product design from concept, through detailed design, and support it during Qualification, NPI and MP stages. • Join task forces to investigate and support production excursions, failure analysis and reliability issues. • Collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that solve ever growing needs. What we need to see: • B.Sc. in Mechanical Engineering • 2+ years of experience in electro-mechanical product design, including PCB/PCBA design. • Excellent knowledge & experience with 3D software for mechanical design (Inventor/Creo) • Knowledge with some of the following various production technologies: PCB design, Sheet metal, Electronic Liquid cooling, Metal die casting, Machining (Milling), Extrusion, Plastic injection molding • Producing of manufacturing documentation (Drawing, Specs) • Computers & software: PDP (Advantage), Office • Self-motivated with a sharp learning curve • Ability to manage multiple tasks while being very well organized (know how to work in Multitasking mode and priorities the tasks) • Multi- disciplinary abilities • Strong communication skills, English & Hebrew, written and verbal. strong Interpersonal relationship • Team player. ability to work independently and as a member of a team as well • High Service oriented Ways to stand out from the crowd: • Skilled in working with supply chains, contract manufacturers, and leading resources such as consultants, component suppliers, contractors, and manufacturing partners. • Proficient in mechanical stress simulation tools. • Background in developing liquid cooled systems. • Familiar with IDF file exchange processes with Layout engineers. • Expertise in designing PCIe and OCP3.0 standards compliant products, as well as implementing and training on new design and flow methodologies. 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 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 is hiring a Senior Physical Verification Engineer to lead signoff-quality verification for advanced silicon programs. You will drive physical verification strategy and closure for complex designs, working across implementation, methodology, and signoff teams to achieve tapeout readiness. The role requires strong technical ownership, structured debug, and the ability to scale best practices across multiple programs. This is a great match for an engineer who wants to combine technical depth with broad project impact. What you’ll be doing: • Own physical verification closure for major blocks or full-chip designs through tapeout. • Lead debugging of complex DRC, LVS, and reliability-related issues and drive high-quality resolution. • Define verification check plans, signoff criteria, and closure priorities with cross-functional teams. • Partner with physical design, custom design, and CAD teams to improve quality and turnaround. • Drive automation, methodology improvements, and best practices for scalable PV execution. • Review results, coach team members, and help reduce repeated classes of violations. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 5+ years of experience in physical verification, backend implementation, or ASIC signoff. • Deep knowledge of DRC, LVS, physical signoff methodology, and tapeout flows. • Strong experience with industry-standard physical verification tools and foundry rule decks. • Proven ability to debug and close complex verification issues on large designs. • Strong scripting and automation skills. • Excellent communication and cross-team execution skills. Ways to stand out from the crowd: • Experience owning full-chip PV signoff at advanced nodes. • Familiarity with reliability, density, fill, ERC, or other manufacturing-related signoff checks. • Experience leading methodology improvements across teams. We are 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 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. Please contact us to request accommodation.

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)