Nvidia

NVIDIA is looking for a Data Center Deployment Specialist to join its Infrastructure Specialists team. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest data centers in the world! NVIDIA is in search of a candidate with the capacity to collaborate within a complex customer-focused team that necessitates superb communication skills What you will be doing: • Deploy and support NVIDIA products • Guide and supervise 3rd party contractors in field or remote settings • Ensure accurate cable installations, including the number and type of connections, port assignments, and timing of activity while following standard methodologies • Print labels for re-labeling cables based on a Point to Point (P2P) scheme • Conduct quality testing of all cables used • Resolve issues involving cabling components • Validate and update all related work instructions for cabling activities • Provide input on Data Center Standards updates as needed, while balancing multiple tasks and priorities and actively participating in project calls • Ensure all relevant physical assets are recorded in Asset Manager and that all inventory-related fields are accurately recorded • Inspect all received hardware shipments and receiving duties What we need to see: • 2-3 years of experience as a data center technician, field service engineer, or similar • Bachelor's degree or equivalent experience • In-depth knowledge of data center environments, servers, and network equipment • Experience with liquid-cooled systems • Extensive experience in installing, monitoring, and maintaining data center equipment • Outstanding ability to work as part of a team, provide IT support, and resolve errors with proficiency in detailing network processes • Willingness to travel (~50%) Ways to stand out from the crowd: • Network fix, including looking at port counters, errors, etc. • Collaboration with R&D and network engineering teams • Positive interaction capabilities NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. 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.

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. Are you ready to help safeguard the most important assets of the most valuable company in the world! Our Cryptographic Services team runs the Simple Signing Service (3S) — the HSM-backed platform that signs every NVIDIA product before shipping including our Networking business unit's every release: SpectrumX, Quantum, NVLink, ConnectX, BlueField and DOCA. Today that platform is operated entirely from the US. This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it! What you'll be doing: • Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team. • Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return. • Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast. • Drive AI-enabled automated self-service — the 3S Copilot, our MCP integrations, runbooks and docs — so the region can unblock itself without waiting for any time zone. • Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues. • Partner closely with the US and India teams, and with Networking DevOps and release management in Israel. • Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you. What we need to see: • BS or MS in Computer Science Engineering or a related field of study (or equivalent experience). • 10+ years building and operating production software, with real ownership of a service — you have carried an on-call "pager" and resolved incidents under release pressure. • Strong hands-on engineering in Python, Java, Go or similar, with AWS, Kubernetes, CI/CD and infrastructure as code. • Solid understanding of applied cryptography — PKI, digital signatures, key management — or the demonstrated ability to go deep in an unfamiliar technical domain quickly. • Clear communication in English, and the judgement to keep customers advised during an incident rather than after it. Ways to stand out from the crowd: • Hands-on experience with code signing, HSMs, secure boot or software supply chain security. • Familiarity with NVIDIA Networking release and build environments — Gerrit, GitLab, Artifactory, firmware and DOCA pipelines. • You use AI and agentic tooling to remove repetitive work, and are pragmatic about where it helps and where it does not. 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/

Our team in Yokneam, Israel is looking for a senior board design engineer to join the Hardware Team. The team leads the development of next generation Network Adapters for high-speed communication products. NVIDIA's 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. 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: • Board designer in the HW team is the project leader. • The position consists of product specification, electrical schematics, component selection and layout guidance. • Hands-on development and testing in a lab environment, accompanying production and qualification processes. What we need to see: • B.Sc./M.Sc. in Electrical Engineering, or equivalent experience. • At least 5 years of practical experience. • Project management skills, independent, excellent interpersonal relationship. Ways to stand out from the crowd: • Knowledge in analog and digital electrical circuits, system-level understanding. • Background in board design: schematics, layout, thermal design, mechanical design. • Experience with PCB fabrication, product qualification and lab work. 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 experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies. As a design engineer in the DFT design team at NVIDIA, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals. What you'll be doing: • In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies. • As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production. • Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks. What we need to see: • B.Sc. in Electrical Engineering or Computer engineering or equivalent experience. • 5+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Strong debugging, problem solving and analytical skills. • Strong communication and social skills are required. • Ability to work in a geographically diverse team environment. • Self motivated, independent and target oriented. Ways to stand out from the crowd: • Prior Design or Verification experience. • Experience in developing sophisticated design blocks. • Integration of design elements to large cluster or full-chip. • Experience in working with back-end on area, power and timing closures. • Scripting ability. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

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 a Sr. 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: • Developing 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. • Leading high-reaching projects from concept through successful implementation, ensuring they meet NVIDIA’s high standards. • Lead development 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 • A minimum of 5 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 • Proven track record of guiding projects from initial idea through to final delivery. • Knowledge of industry standards and guidelines in electronic packaging and Si processing. • Previous work in a high-tech, fast-paced environment. 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 Analog Layout design team is looking for a Senior Analog Layout Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling challenge high-speed mixed-signal circuit designs. 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 solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. What you'll be doing: • Perform physical layout for mixed-signal functions like PLL's, high speed I/O circuits, SerDes, general I/O's, ESD structures designs in state-of-the-art sub-micron CMOS FinFET technologies using Cadence tools • You will work with ASIC and mixed-signal engineers to customize designs for integration in VLSI products. • Job duties will include floor planning, custom layout and verifying against design rules and schematics, EM/IR analysis What we need to see: • You will have a minimum of 5 years of relevant mask analog layout experience • An Electronics Practical Engineer certificate or a B.Sc. in Electrical Engineering • Proven understanding of analog circuit layout concepts in submicron CMOS and FinFet technologies - such as Operational Amplifiers and ADC/DACs. • You are an expert with Cadence custom circuit design tools - particularly Virtuoso • Experience running and debugging DRC and LVS with verification tools such as ICV, Calibre • You can work effectively in a team, good interpersonal skills, enthusiasm and positive energy. Ways to stand out in the crowd: • Proficiency in scripting languages like python, skill • Knowledge of DRC and LVS checking flows, EM/IR tools, ability to customize DRC and LVS decks NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the securest silicon possible? If so, we want to hear from you. Come, join our ASIC Security team and help build the real-time, cost-effective computing platform driving our success across several exciting and quickly growing fields.

NVIDIA is spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools. In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.   What you'll be doing: • Directly impact the architecture of NVIDIA’s next generation AI and HPC offerings through modeling, simulation and analysis. • Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the system’s performance. Develop advanced simulation solutions while contributing modular and scalable code. • Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization. • Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion. • Improve the quality of the simulation as a software product, ensuring robustness and reliability.   What we need to see: • BSc or above in Computer Science, Electrical Engineering, or a related field • 5+ years of recent hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase. • End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput). • Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision. Ways to stand out from the crowd: • Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols. • Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators). •  Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems. 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.

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. • 2+ 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!

Are you ready to help build next generation solutions for High-Performance Web Servers and Proxy Servers, Content Delivery Networks, Financial Service market's High-Frequency Trading (HFT) platforms, High-Performance Disaggregated Storage? NVIDIA is looking for an Excellent Senior Software Engineer to develop groundbreaking networking acceleration solutions for variety of markets. Development is done in an exciting and Agile environment on a widely deployed products that need constant improvements. What you’ll be doing: • Design and develop high performance networking solutions based on NVIDIA's outstanding ConnectX and Bluefield networking cards hardware. • Work in a startup mode/group developing groundbreaking networking solutions. • Development of the entire solution’s stack, from application level to networking card hardware access. • Development of kernel bypassing user space TCP/IP stack on top of our outstanding networking card hardware. • Invent and implement creative ways to improve performance and scalability. • Large scale and high quality deliveries. • Work closely with customers and partners. • Collaborate with multiple teams in our multi-functional environment on developing new features/improvements. What we need to see: • B.Sc. or M.Sc. in Computer Science or Electrical Engineering or equivalent experience. • 5+ years of experience in each of the following areas: Software development in C/C++, Networking protocols, Linux environment. • Strong design, coding, analytical, debugging and problem-solving skills. • Ability to quickly adapt to new technology and go deep into new areas. • Independence and agility. • Good social and interpersonal skills. Ways to stand out from the crowd: • Experience with low latency acceleration and performance improvement. • Experience with Linux user space/driver/kernel development. • Deep knowledge and understanding of TCP/IP stack. • Good view of system architecture and performance. NVIDIA is widely regarded as one of the most desirable employers in the technology world. 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 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.

NVIDIA is looking for an excellent Software Engineer to join the network management team. The team develops software responsible for configuring network devices. routing algorithms and performance optimizations in InfiniBand networks powering world top supercomputers. For research and testing purposes, we also develop large-scale InfiniBand network simulators. What you’ll be doing: • Design and develop user-space applications responsible for simulation large scale InfiniBand networks of thousands of network devices • Improve performance and optimize algorithms for using the simulator in Docker and cloud setups • Collaborate with multiple teams in our multi-functional environment on developing new features/improvements What we need to see: • B.Sc. in Computer Science or Software Engineering or equivalent experience • 4+ years of experience as Software Engineer, including experience with C/C++ • Self and quick learning abilities Ways to stand out from the crowd: • Proficient knowledge in C/C++ • Excellent social and written communication skills • Knowledge of network topologies design and routing algorithms NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere 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, colour, 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 talented Senior Software infrastructure and tools Engineer to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with NVIDIA's SDK development and gain an understanding of NVIDIA's products and technologies. What you’ll be doing: • Crafting efficiency and usability improvements across NVIDIA proprietary products that will help streamline various release pipelines and processes across NVIDIA. • Definition and development of SDKs to be used for DPU SW development. • POC of new technologies that require additional development/integration efforts. • Creating and maintaining build system for complex SW products. • Developing tools using various NVIDIA proprietary and other cutting-edge technologies. • Collaborate with team members, Architects, design, QA teams, and verification. What we need to see: • B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field. • 5+ years work experience in a software development. • Strong programming skills in Python, Go, and Bash. • Strong understanding of Linux and networking. • Solid expertise in Linux build systems, encompassing RPM and Makefiles. • Experience with Docker, Ansible, and Jenkins pipelines. • Proven object-oriented programming skills and design patterns. • Motivated, responsive, and keen on process improvement. • Excellent Analytical, debugging, and problem-solving skills. Ways to stand out from the crowd: • Experience with bootloaders. • Contribution to open-source projects. • Experience working with SoC. • Familiar with other SDK such as CUDA SDK. • Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams. 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 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 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). • 8+ years of system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C/C++ in Linux application space and/or embedded software. • Expertise in Linux networking stack, tools, utilities and services. • 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.

The NVIDIA Networking Advanced Development Software team develops innovative software solutions that help shape future NVIDIA products, create new market opportunities, and strengthen strategic customer relationships. Through rapid prototyping and proof-of-concepts (POCs), we evaluate emerging technologies and transform innovative ideas into validated solutions. Our projects are driven by where technology is heading—not by a single domain. While our current work focuses on AI infrastructure, distributed computing, and modern data centers, our mission is to tackle the technologies that will matter next. We investigate, prototype, and deliver solutions across a broad spectrum of areas, including HPC, cloud infrastructure, storage, networking, virtualization, and more. Our engineers work across the entire software stack—from user-space applications and middleware to Linux kernel networking, device drivers, firmware, and GPU programming. Together with teams across NVIDIA, strategic customers, industry partners, and the open-source community, we turn ambitious ideas into practical technologies with real-world impact. What you’ll be doing: • Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware • Work on impactful projects involving state-of-the-art high-performance computing hardware and software • Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology • Collaborate with NVIDIA partners and customers What we need to see: • B.Sc. in Computer Science, Electrical Engineering or Computer Engineering • 3+ overall years of industry experience • Understanding of multi-core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time • Excellent programming skills • Ability to learn complex concepts in a fast pace environment. • A teammate with a can-do attitude, high energy and excellent interpersonal skills Ways to stand out from a crowd: • Familirity with Deep Learning frameworks and AI communication libraries • Familiarity with RDMA • Experience and passion for system architecture, CPU/GPU/memory/storage/networking • Experience with open-source projects (coursework, personal, or contributions) • Working in a fast-paced and dynamic environment

NVIDIA has an outstanding opportunity for a Materials Planning Management to join our Procurement Management team in Yokneam, IL. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain What You Will Be Doing: • Own the end-to-end supply chain and procurement readiness for the NPI phase, ensuring a smooth transition from NPI to full-scale Mass Production (MP). • Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing. • Proactively identify and resolve supply constraints, lead-time risks, and BOM gaps that could jeopardize a successful MP ramp. • Lead cross-functional readiness reviews, driving alignment between Engineering, Operations, CM, and procurement stakeholders. • Monitor and track Single-source parts, proactively identifying supply chain risks and escalating the need for dual/multi-manufacturer strategies to ensure supply continuity. • Collaborate cross-functionally with Planning and Business Units to drive demand analysis across NPI and high-volume production portfolios • Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making What We Need To See: • B.Sc. in Industrial Engineering , related field or equivalent experience • Minimum of 5+ overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment. • Strong understanding of supply chain processes, NPI cycles, and material planning systems. • Strong technical knowledge of semiconductor materials and contract manufacturing processes. • Excellent communication, negotiation, and leadership skills. • Strong understanding of ERP/MRP systems, tools driven by artificial intelligence, and platforms for analyzing supply chain data. • Ability to thrive in a fast-paced, dynamic environment and effectively prioritize tasks. Ways to stand out from the crowd: • Master’s degree • Experience with agentic AI systems in supply chain applications 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!

At NVIDIA, we are building the networking technologies behind the world’s most demanding AI, cloud, and high-performance computing platforms. RDMA, congestion management, and multipath transport are central to that work, shaping protocol behavior, interoperability, reliability, and end-to-end performance at scale. We are looking for a senior architect or technical leader with deep expertise in networking protocols and the broader interconnect ecosystem to help define the next generation of capabilities across our platforms. This role is ideal for someone who combines strong protocol knowledge with architectural judgment, product sense, and credibility in industry forums. You may come from protocol architecture, NIC or switch design, systems research, or standards leadership, but in all cases you know how to turn technical insight into roadmap impact. In this role, you will work across architecture, hardware, firmware, software, product, and ecosystem partners to shape protocol direction, influence standards, and drive implementable innovation. If you want to help define the future of RDMA and AI networking, we’d love to hear from you! What you'll be doing: • Define and guide protocol and architecture direction for RDMA and sophisticated transport technologies across next-generation networking platforms, with particular focus on performance, scalability, interoperability, and adaptability. • Lead technical work spanning RDMA semantics, congestion management, multipath transport, reliability, ordering, virtualization, and software-visible interfaces. • Develop NVIDIA's viewpoint and contributions across major ecosystem and standards organizations, including UEC, IBTA, IEEE, and OCP. • Work closely with architects, hardware, firmware, software, validation, and product teams to transform protocol concepts into practical features and prioritized roadmap investments. • Evaluate standards proposals, protocol extensions, and ecosystem requirements; identify tradeoffs early and drive streamlined technical recommendations. • Engage with contributors from inside and outside the organization to advance interoperability, performance portability, and adoption within the RDMA ecosystem. • Use analysis, modeling, experimentation, traces, and system-level reasoning to validate architectural decisions and expose bottlenecks or protocol gaps. • Represent the technical direction of the work clearly to senior leaders, engineering teams, and external collaborators. What we need to see: • B.Sc, M.Sc, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. • More than 10 years of proven experience in networking protocols, interconnect architecture, systems research, or related areas. • Strong technical knowledge in one or more fields such as RDMA technologies (InfiniBand, RoCE, verbs and transport semantics), NIC or switch architecture, congestion control algorithms, or multipath transport. • Strong understanding of modern data center networking, including Ethernet, congestion management, routing and switching interactions, and large-scale system behavior. • Proven background in protocol definition, contributing to standards, interoperability efforts, or technical leadership within an ecosystem. • Ability to reason across hardware, firmware, software, and system architecture boundaries and make well-grounded technical tradeoffs. • Strong record of influencing technical direction across multi-functional teams and aligning diverse collaborators around architecture decisions. • Strong interpersonal skills, including the ability to convey complex technical perspectives clearly in both internal and external environments. Ways to stand out from the crowd: • Experience engaging in or leading initiatives in UEC, IBTA, IEEE, OCP, or comparable industry standards and ecosystem organizations. • Expertise in SmartNICs, DPUs, NIC architecture, switch architecture, or hardware/software co-design for sophisticated networking systems. • Deep background in congestion control — algorithm development, analysis, simulation, or deployment at scale in data center or HPC environments. • Experience with multipath transport protocols, load balancing, or adaptive routing across large-scale fabrics. • Familiarity with GPU networking, GPUDirect RDMA, collective communication patterns, or AI and HPC workload behavior over RDMA fabrics. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. We 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 an accommodation.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology—and outstanding 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, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a security architect who is interested in a chance to define, and implement next-generation security features for data centers’ networks. The position will take on a lead role, working with teams with varied strengths across NVIDIA and with external partners to research security requirements for networking products. What you'll be doing: • Lead, research, design, develop, and implement solutions for attestation and confidential compute in network devices. • Apply innovative security primitives using attestation capabilities. • Collaborate across external and internal teams and with customers. • Define next generation architecture following standards bodies and developing proof-of-concepts for attestation and confidential compute. What we need to see: • BSc, MSc, or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience. • At least 5 years of experience. • Background in attestation protocols such as DICE, SPDM, TPM, CoRIM • Background in confidential compute and trusted execution environments solutions such as ARM CCA and PCIe TDISP • Programming and debugging fundamentals across languages such as Python, and C/C++. • Strong communication skills and a genuine passion for working together as a team are vital. Ways to stand out from the crowd: • Proven security research experience and publications in top security conferences. • Experience with high-scale deployment challenges and threat modeling • Architectural background and hardware-software codesign. NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're an autonomous researcher passionate about connecting AI applications with the infrastructure that powers them, we want to hear from you.

Are you passionate about AI Security and interested in joining a team focused on driving improvement and solving tough challenges? NVIDIA's Networking Cybersecurity Lab located in Yokneam is looking for the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking Cyberlab's primary goal is to ensure NVIDIA network products are secure, architecting and delivering comprehensive security solutions with AI Security partners and fostering homegrown AI security development capabilities. We are seeking a Cybersecurity AI solutions Engineer to be part of the backbone of networking security innovation. In this role as part of your time, you will architecture design, deploy, and execute tests for 3rd-party cybersecurity AI solutions within a virtualized digital twin environment using NVIDIA Data Center Simulators (DSX AIR). Work with data scientist for fine-tuning state-of-the-art AI models - such as NVIDIA Nemotron, and automating complex pipelines. The ideal candidate bridges the gap between virtualization, modern cybersecurity architecture, hands-on AI engineering, and robust DevOps practices. This is an opportunity to work at the intersection of AI development, advanced cybersecurity, collaborating with offensive security researchers to increase the adoption the of products that power the AI revolution. Our new team member is an effective communicator, comfortable collaborate with cyber security architect team, engineers, technical staff, and enjoys working with a diverse, global workforce. What you'll be doing: • ​Cybersecurity AI solutions engineering in digital twin env: architect, design deploy, and evaluate AI Security partners software within virtual environment frameworks. analyse, and test security products under simulated real-world datacentre workloads. • AI Model Setup & support Fine-Tuning tasks: AI Infrastructure sizing & setup configure and maintain infrastructure optimized for large language models and security analytics tools. deploy, optimize, and fine-tune NVIDIA Nemotron models for specialized cybersecurity tasks (e.g., threat detection, log analysis, automated response generation). • Dataset Management: curate, preprocess, and manage support training -evaluation datasets sourced from simulated data & telemetry • Infrastructure & DevOps Automation : CI/CD & pipeline management , build automated testing pipelines to streamline product deployment, validation runs, and benchmarking reports. What we need to see: • B.Sc. in Computer Science / Electrical Engineering or equivalent experience • At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models • ​Familiarity with AI/ML frameworks (PyTorch, NeMo, Hugging Face) and GPU acceleration libraries (CUDA, TensorRT) • Experience serving open models with vLLM, Hugging Face Transformers, TGI, llama similar frameworks. Inference libraries like DeepSpeed • Experience in a DevOps role -CI/CD Tools: GitLab CI, GitHub , Gerrit or Jenkins • Experience in programming and scripting using Python, Bash in Unix/Linux environment • Good knowledge of virtualization VMware, KVM/QEMU, Hyper-V (or cloud-based hypervisors) Docker, Kubernetes, Helm • Experience in physical and virtual networking (VLANs, subnets, firewalls) & datacentre networking • Debugging skills at the OS, kernel, and service levels • Excellent documentation, planning, and communication skills, with the ability to collaborate effectively with internal teams NVIDIA is widely considered one of the technology industry's most desirable employers, with highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working with us. 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 looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a 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: • You will be developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality), Backend CAD (Computer-Aided Design), • Knowledge in Tcl/Perl/Python • Versatile • Great teammate 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 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! #LI-Hybrid

We at NVIDIA IC Product Engineering are looking for a senior engineer to join us and lead the way we develop characterization and validation methodologies for our next-generation silicon! This role puts you at the center of our hands-on validation work while shaping how we approach characterization at scale for the programs ahead. What you’ll be doing: Define and develop characterization and validation techniques for post-silicon bring up and production test, spanning electrical, functional, and performance characterization. Working in close coordination with test engineering, yield, NPI, FW and other teams, lead methodology planning for future products and serve as the synchronization point between our Israel and US-based teams. Day to day, this means: • Driving alignment on tooling, flows, and coverage requirements ahead of tape-out and first silicon • Translating product requirements and silicon behavior into structured characterization plans with clear coverage targets, risk areas, and data collection strategies • Leading methodology transfer into execution — working with team managers to ensure tooling, methods, and engineers are in place for a smooth handoff • Identifying methodology gaps early in the program cycle and resolving them through cross-functional collaboration What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ years of experience with IC silicon characterization, validation, product engineering, test engineering, or system integration. • Ability to work in a fast-paced, multifaceted work environment with a focus on technical excellence, innovative thinking, and strong analytical skills. • Ability to self-manage, show leadership, and possess good social skills. • Deep hands-on engineering background — this role leads, but is encouraged to be technically authoritative and roll up sleeves when needed. • Strong cross-functional communication skills; comfortable aligning with US-based teams across time zones and organizational boundaries. Ways to stand out from the crowd: • Programming and data analysis experience. • Understanding of BE procedures and knowledge of power terminology and measurement methods. • Power management characterization and reliability & validation engineering experience.

Our Host Management Team focuses on the holistic system- and board-level management of next-generation data center infrastructure. We architect the production, provisioning, management, power, and reset flows that keep complex, multi-silicon platforms operating securely and reliably. We bridge the gap between high-level orchestration (like Redfish and out-of-band management) and low-level hardware execution. We are seeking a Senior System Management Architect to lead the management architecture for our advanced SmartNIC cards. You will be the resident expert for SmartNIC system management, ensuring that NIC ASICs, Baseboard Management Controllers (BMCs), MCUs, CPUs, and CPLDs operate in perfect unison. You will own the lifecycle management specifications for SmartNIC platforms—from factory provisioning and day-one deployment to complex orchestrated reset flows and secure recovery. If you are someone who enjoys looking at a high-level system diagram and then immediately diving into the I2C/I3C bus topologies and PLDM command structures required to make it work, this role is for you. What you'll be doing: • System Architecture & Flow Definition: Define and document comprehensive production, provisioning, update, recovery and reset flows for SmartNIC cards. Crucially, you will ensure that these board-level architectural decisions perfectly align with and support overarching platform-level needs, orchestrating seamless coordination between the NIC ASIC, BMC, CPU, and peripheral components. • Security & Provisioning: Specify security provisioning flows including OTP fusing, secure boot enablement, attestation key injection, certificate chain management, RPMC key derivation, and PQC (Post-Quantum Cryptography) requirements. Define IPN-to-OPN transition and component locking procedures. • Protocol Implementation & Guidance: Specify the use of standard management protocols (MCTP, PLDM, SPDM, NC-SI) across internal board interfaces to achieve secure boot, firmware updates, and telemetry gathering. • Hardware/Software Intersect: Dive deep into device-level hardware and software behaviour. Define CPLD logic requirements, power-sequencing dependencies, and reset orchestration (e.g., handling PCIe PERST#, SBR, and forced resets) for multi-host and standalone SmartNIC environments. • Interface Management: Architect intra-board communication pathways using PCIe, I2C/I3C, USB, and SPI, ensuring robust out-of-band (OOB) and in-band management connectivity. • Cross-Functional Leadership: Collaborate tightly with Production teams, Hardware and Firmware Engineering, NIC FW/Driver teams, and QA to translate your architectural specifications into implementable, testable realities. • Technical Documentation: Author rigorous technical specifications, test plans, and architectural design documents to guide both development and factory production. What we need to see: • Deep System-Level Perspective: Proven ability to understand complex computing or networking systems top-to-bottom, with a specific background in SmartNIC boards, chassis, or network tray architectures. • Device-Level Expertise: Hands-on experience debugging or architecting flows involving BMCs (e.g., OpenBMC), MCUs, CPUs, and complex networking ASICs. • Protocol Fluency: Strong working knowledge of modern platform management and security protocols, specifically MCTP, PLDM (Type 2, 5, etc.), SPDM, and NC-SI. • Hardware Interface Knowledge: Deep familiarity with board-level communication buses (I2C, I3C, SPI, USB) and system interconnects (PCIe architecture, including link states and reset mechanisms). • Analytical Documentation Skills: Exceptional ability to write clear, unambiguous technical specifications, state-machine descriptions, and sequence diagrams. • Experience Level: Typically requires a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field, alongside 8+ years of relevant industry experience. Ways to stand out from the crowd: • Experience with Redfish API definitions and OOB network infrastructure. • Familiarity with hardware root of trust (HRoT / eROT) concepts and secure boot architectures. • Experience with PLDM firmware update bundle packaging and update agent implementation. • Experience with production line tooling, factory provisioning, and manufacturing test flows. • Networking Experience: Background in general networking principles, SmartNIC data-plane and offload operations, or high-speed data center topologies.