Nvidia

NVIDIA is looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for NVIDIA's Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the world’s biggest companies. With dedicated engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge? What you'll be doing: • Developing and constructing durable network automation frameworks for the provisioning, configuration, and observation of HPC data centers, increasing the efficiency and consistency of our infrastructure. • Collaborating with internal and external collaborators teams to integrate and implement innovative technologies. • Troubleshooting issues in distributed environments and contributing to system observability and reliability improvements. • Working cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases. • Participating in code reviews, technical build discussions, and continuous improvement activities within the team. What we need to see: • B.Sc. in Computer Science, Engineering, or a related field, or equivalent experience in practice. • Proven experience in software development. • 5+ years of strong hands-on experience on Linux-based platforms. • Proficient scripting and automation skills (Bash, Python, Ansible). • Experience with version control systems (Git) and CI/CD pipelines. • Independent, fast learner with a strong sense of ownership, excellent debugging and problem-solving skills, and effective communication abilities. Ways to stand out from the crowd: • Background in DevOps methodologies and Network Engineering practices. • Solid understanding of networking concepts, protocols, and technologies. • Experience with agentic AI development. • Hands-on experience with large-scale network architectures, switches/routers, OVS, SR-IOV, and network operating/management systems. • Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies. At NVIDIA, join a committed team striving to push technological boundaries forward. Your work will assist us in remaining competitive at the top and leaving a lasting mark on the world. Apply now and find out how you can play a role in building the future of computing!

Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently. What you’ll be doing: • Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams • Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling • Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions • Contribute to improving system reliability, maintainability, and observability of infrastructure components • Support CI/CD integration for validation processes and services What we need to see: • Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field • 5+ years of experience in software development and infrastructure or tooling roles • Proficiency in Python, Java and familiarity with Django, react, or other web frameworks • Experience with database design and usage • Familiarity with Linux environments and system services • Strong debugging and problem-solving skills • Experience working with version control systems Ways to stand out from the crowd: • Experience building internal tools or platforms for validation or QA teams • Background in system architecture for test execution, including resource management and scheduling • Understanding of hardware validation pipelines or embedded systems testing • Strong communication skills and ability to work in a cross-functional environment At NVIDIA, you’ll engage with team members who are dedicated to exploring new ideas and driving innovation forward. Our infrastructure team plays a central role in enabling fast and reliable validation for innovative networking products. If you're passionate about building systems that empower others to work better, faster, and smarter — we want to hear from you!

NVIDIA is looking for a Senior Software Engineer to join the NVIDIA DOCA™ SDK Verification team. The NVIDIA DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs. What you will be doing: As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the NVIDIA DOCA™ Platform. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software. What we need to see: • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. • 5+ years of experience as a software engineer, • Proficiency in programming languages such as Python, Java, or similar. • Deep understanding of software development methodologies and engineering best practices. • Excellent problem solving skills and the ability to address complex technical challenges. • Strong communication and collaboration skills, with the ability to work effectively in a team environment. • Proven track record of delivering high quality work on time and meeting project deadlines. Ways to stand out from the crowd: • Expert level knowledge of the Python programming language. • Experience with Kubernetes networking. • Strong knowledge of the Linux operating system. We have some of the most forward-thinking and hardworking people 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, disability status or any other characteristic protected by law.

NVIDIA is looking for a Fuse Configuration Engineer to join the IC Product organization and support fuse configuration across NVIDIA Networking products. In this hands-on engineering role, you will define, implement, validate, and maintain fuse configurations throughout the product lifecycle, from initial definition through mass production and end-of-life. NVIDIA is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services. Our portfolio includes adapter cards, switches, cables, and software that deliver industry-leading bandwidth, scalability, and data-center performance. What you’ll be doing: • Develop, maintain, and validate fuse configuration files and parameters for multiple IC products. • Translate technical requirements from Chip Design, Architecture, Q&R, ICPE, test, and manufacturing teams into production-ready fuse configurations. • Perform hands-on configuration updates, technical analysis, troubleshooting, and validation of fuse-related settings. • Investigate configuration issues, identify root causes, and implement effective technical solutions. • Review fuse change requests and support CCB activities by assessing technical impact, risks, and validation requirements. • Develop and improve tools, scripts, checks, and engineering processes that increase configuration accuracy and efficiency. • Integrate fuse configurations into product development, validation, test, and manufacturing flows while maintaining consistency, version control, and traceability. What we need to see: • B.Sc. in Electrical Engineering, Computer Engineering, Mechanical Engineering, Chemical Engineering, or a related engineering field. • 3+ years of hands-on engineering experience in semiconductor products, IC product engineering, validation, test, integration, manufacturing, or a related technical area. • Understanding of IC design, semiconductor fabrication, product testing, or manufacturing processes. • Experience working with technical configuration data, engineering specifications, parameters, or controlled production files. • Strong analytical and problem-solving skills, including the ability to investigate complex technical issues and drive them to resolution. • Experience collaborating effectively with multidisciplinary engineering teams. • Ability to independently manage technical details and priorities across multiple products or development activities. • Good written and verbal communication skills in English. Ways to stand out from the crowd: • Direct experience with fuse configuration, silicon configuration, or semiconductor product configuration. • Experience with IC product engineering, post-silicon validation, characterization, testing, or manufacturing. • Scripting or automation experience using Python or similar tools. • Familiarity with version-control systems, configuration-management tools, and automated validation flows.

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 pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. 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. 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. NVIDIA Networking is looking for a Networking AI/HPC Clusters Infrastructure Director to join NCS group. In this role, you will build, manage, and maintain the biggest cluster in NVIDIA Networking R&D to validate and test next-generation networking platform for AI technology and Reference Architecture that are being released to our customers. We are currently working on next generation Vera Rubin GPU Platform AI clouds and factories with our XDR (800G InfiniBand) and SpectrumX1600 next generation technology. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Lead a group that is responsible for building, managing, and maintaining Networking engineering clusters composed of Linux, x86 and ARM CPU, GPU, Ethernet, and InfiniBand technologies. • Work closely with the engineering and architecture teams to understand, plan and build new clusters for validating and testing new NVIDIA Networking technology solutions. • Drive the design and implementation of automatic systems to deploy, configure, maintain, and monitor these clusters. • Drive the design and implementation of resource management systems for multiuser environments with different needs on these clusters. • Manage R&D lab including inventory, power, space, and cooling. • Build, expand, and mentor the team to address growing demands and requirements. • Innovate! Influence on NVIDIA Networking cluster management tools to shine in customer’s view. What We Need to See: • A degree in Computer Science, Engineering, or a related field. • 7+ years of managerial experience including managers’ management. • 15+ years of relevant overall professional experience • Experience in managing HPC/AI clusters. • Deep understanding of operating systems, computer networks, and high-performance hardware • Deep knowledge of distributed resource scheduling systems and orchestration tools such as Slurm, K8s • Experience in Data Center management from a multidisciplinary company, including handling power, cooling, and space. • Strong organizational and project management skills, comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements. • Enthusiastic and ambitious personality, encouraging a positive and productive work environment. Ways to Stand Out From the Crowd: • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high-speed interconnects and supporting software • Familiarity with CUDA and managing GPU-accelerated computing systems • Familiarity with NVIDIA networking technology 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) based on 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, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation. In 2020, NVIDIA acquired Mellanox, a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions and services for servers, storage, and hyper-converged infrastructure. Mellanox intelligent interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications, and unlocking system performance.

We are looking for a talented Experienced Firmware Engineer to join our Network adapter Firmware team. The Firmware 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. What you will be doing: • Work closely with the architecture and different software design teams. • Implement new features in the core of NVIDIA NIC firmware. • Implement verifiers for advanced features in our advanced random Firmware testing environment. • Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship. • You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed. What we need to see: • B.Sc. in Computer Science/Engineering or equivalent experience. • 3+ years of experience in FW or embedded SW. • Strong C/C++ capabilities. • Excellent understanding of data structures and algorithms fundamentals. • Strong analytical, debugging and problem solving skills. • Motivated and independent with strong interpersonal skills. Ways to stand out from the crowd: • Knowledge of network protocols. • Prior verification experience. • Real time programming. • Knowledge in networking protocols. • Experience with Agile methods. 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! In 2020, NVIDIA acquired Mellanox, a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions and services for servers, storage, and hyper-converged infrastructure. Mellanox intelligent interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance. 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

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's Switch ASIC group is seeking a top-tier ASIC technical manager to lead the development of our next-generation ASICs. Join us in shaping the future of technology! As an ASIC Project Lead, you will manage the pre-silicon development of NVIDIA's most advanced and complex switch ASICs — from concept to tape-out — and drive the chip through power-on and qualification to production release. You will collaborate with a cross-disciplinary team, interacting with unit-level ASIC, Physical Design, CAD, Package Design, Firmware & Software, DFT, System Design, Analog Design, and other specialized teams. What you'll be doing: • Development Management: Lead the ASIC development from concept and architecture stages through micro-architecture, design, verification, and physical design until tape-out. • Post-Silicon Execution: Drive chip power-on, bring-up, and qualification to production release. • Execution Plans: Define and implement execution plans in collaboration with cross-discipline leaders in unit-level, full-chip, physical design, and firmware/software emulation. • Roadmap Definition: Contribute to the definition of NVIDIA's switch ASIC roadmap. What we need to see: • BS or MS in Computer or Electrical Engineering, or equivalent experience. • 10+ overall years of experience in chip design. • 5+ years of chip design/verification management experience as a second- or third-level manager, leading organizations of 50+ engineers. • Proficiency in RTL design (Verilog), verification (UVM, SystemVerilog), System-On-Chip design/integration flow, and design automation. • Strong system view with the ability to collaborate across multiple interfaces. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities. • Experience in synthesis and physical design is a plus.

NVIDIA Networking System Product Engineering group is looking for an excellent Software Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. You will lead the development of our products and raise the bar of the software development quality in the group. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. What you’ll be doing:  • Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage • Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products • Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems • Utilize test suites to find, debug and resolve problems with production process • Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment • Supporting and fixing bugs of existing code. Supporting production lines for: deployments, patches, maintenance • Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures What we need to see:  • BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field • 3+ years of related experience in software development and design  • 3+ years of proven experience in Python or similar platform • Excellent knowledge of a version control system (preferably GIT)   • Linux based development • Experience with Software/Hardware products integration • Excellent communication skills with hands-on experience collaborating with global teams • Strong teamwork skills, with the ability to collaborate effectively across cross-functional teams Ways to stand out from the crowd:  • Familiarity with product manufacturing flows and processes • A highly motivated teammate who always stays up to date with new technologies and test methodologies • Exposure and knowledge around application development, configuration management and automation • Experience in tools/services development. Creativity – find solutions for challenging requirements • Strong leadership skills to drive a project from definition through mass production.

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.

KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale. KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Senior Software Engineer for KAI, you will help build the future of AI scheduling in the Kubernetes ecosystem, working on challenging problems spanning workload scheduling, Kubernetes internals, and large-scale AI infrastructure. What you’ll be doing: • Develop clean, maintainable, and well-tested software in Go. • Design and implement scalability improvements for KAI, helping it operates efficiently in massive-scale deployments (thousands of nodes) while addressing Kubernetes scaling constraints and bottlenecks. • Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability. • Conduct code and design reviews to uphold high-quality standards and mentor team members. • Work closely with contributors, users, and customers, helping translate feedback from production deployments into product and engineering improvements. • Collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and contribute to community and ecosystem discussions. What we need to see: • B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience • 8+ years of experience in backend software development, including system design and architecture • 4+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture. • Strong algorithmic skills with experience tackling complex optimization and distributed systems challenges. • Strong technical skills and a proven ability to collaborate with and mentor other engineers. 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, sex, gender, gender expression, 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.

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.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing: • Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology. • Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. • Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community. • Develop demo solutions and showcase to the AI ecosystem. What We Need To See: • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience • 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable. • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton • Proven Exposure to GPU technology and CUDA programming • Demonstrable experience in strategy, research, communications. • Capable of working in a constantly evolving environment without losing focus. • Committed with strong analytical and problem solving skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Direct experience participating in communities (expertly or as highly engaged developer). Ways To Stand Out From The Crowd: • Technical knowledge of developer digital platforms and their trends. • Experienced working with containers, Kubernetes and MLoPS tools • Exposure to C, C++ and Python. • Research background. • Good presentation skills #deeplearning

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/

NVIDIA is looking for outstanding Thermal Engineer to join our Networking Thermal Engineering team. Come and take a part in designing the next generation of thermal cooling solutions for 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: • Work in a dynamic and challenging environment. • Designing advanced thermal solutions for NVIDIA next generation products, focusing on conduction/ convection based thermal solutions. • Work on variety of challenging thermal designs. • Perform thermal simulation analyzes. What we need to see: • B.Sc. or M.Sc. in Mechanical Engineering (preferably with an energy focus) or an equivalent degree/experience. • 3+ years of experience designing and developing thermal solutions for hardware components. • Strong fundamentals in thermodynamics, fluid mechanics, and heat transfer. • Strong solid understanding of FEA/CFD theory and heat transfer analysis tools, including expert proficiency in at least one thermal simulation software (e.g. IcePak, FloTHERM, Fluent). • Excellent English. Ways to stand out from the crowd: • Experience in thermal modeling of PCB/boards and electronic components. • Wide knowledge of manufacturing processes and constrains. • Hands-on experience with thermal analysis workflows and design of experiments (DOE). • Experience designing liquid-cooling thermal solutions. 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? Come and be part of the best thermal team in the industry! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is shaping the next era of computing, where AI, accelerated computing, and high-speed networking come together to power the world’s most advanced AI systems. Within NVIDIA, the Networking Business Unit (NBU) builds the high-speed interconnect technologies — Ethernet, InfiniBand, NVLink, and BlueField DPUs — that connect thousands of GPUs into a single AI supercomputer. NVIDIA is looking for a Technical Lead to join our Network System Validation group and lead the validation of advanced networking solutions across complex AI cluster environments. This is a deeply hands-on technical leadership role, combining ownership of the validation roadmap with technical mentoring and engineering excellence. You will develop validation methodologies and automation frameworks, while working hands-on on debugging, performance analysis, and cutting-edge AI networking technologies at scale. Join us to help push NVIDIA’s networking technologies to their limits and shape how next-generation AI infrastructure is validated. What you’ll be doing: • Review system and product requirements, design validation methodologies, develop and implement comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions • Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis. • Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution • Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities • Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection • Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations • Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes What we need to see: • B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience • 8+ years of experience in networking, system validation, or related domains • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause • Ability to read, debug, and reason about C/C++ code (Rust or Go a plus) • Strong scripting and automation experience using Python, Bash, and/or Ansible • Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system performance under stress • Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed • Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines Ways to stand out from the crowd: • Experience with large-scale clusters or distributed systems • Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField) • Background in performance analysis, Kubernetes, or cloud environments • Background in chaos testing, fault injection, or simulation systems We have some of the most forward-thinking and hardworking people 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, disability status or any other characteristic protected by law.

NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance. • Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems. • Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification. • Taking part inflows development. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience. • 2+ years of relevant experience. • Proven experience in RTL2GDS flows and methodologies. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification). • Deep understanding of all aspects of Physical construction and Integration. • Knowledge in Physical Design Verification methodology LVS/DRC. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). • Great teammate. NVIDIA has some of the most forward-thinking 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 physical design team in the industry!

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 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. 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 are creative and autonomous, we want to hear from you! NVIDIA Networking division is looking for an experienced NPI Engineer. What you'll be doing: • Perform DFA for products and its related jigs • Perform PFMEA for error-less implementation in a production line, while ongoingly managing product's quality in production line • Develop and validate production process for each project type, striving for ideal robustness level prior HVM • Real time-problem-solving of unknown engineering issues in the production line • Integration and matrix management as product's engine and center key for success • Establish new production lines at CM’s sites from engineering POV, while leading CM's engineering parties to excellence What we need to see: • B.Sc. in Mechanical, Industrial engineering or equivalent experience • 5+ years of relevant experience • Experience in: Leading projects at the electro-mechanical field, CMs/vendors management, and Project management, production management or quality leader at CM’s site • Excellent interpersonal and communication skills; preciseness, proactiveness, pragmatism and creativity as way of life, • Excellent level of English (reading and writing) • Business travels abroad occasionally may be required 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.