Jobs in Yokneam

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers. We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect at NVIDIA, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward. What you’ll be doing: • Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture. • Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW. • Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project. What we need to see: • B.Sc in Computer Science, Computer Engineer or Electrical Engineer. • At least 5 years proven experience in VLSI, FW or SW design/architectural roles. • Good grasp of networking layers and SW-HW co-design. • Possess strong managerial, problem solving and critical thinking skills. • Ability to work and operate in a highly dynamic environment on multiple concurrent projects with multiple groups. Ways to stand out of the crowd: • M.Sc / PhD in relevant fields (Math, Computer Science, Computer Engineer or Electrical Engineer). • Knowledge/hands-on experience in network protocols - such as InfiniBand, IP, TCP and RoCE. • Knowledge/experience in network topologies, LLM or DL (research or design). • Architectural experience in SW-HW co-design. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is 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 best-in-class Physical Design 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 will be doing: • Physical design of blocks/top-level 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. • Act as Partition/Unit level physical design technical leader and focal point. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering. • 5+ years of experience in physical design. • Proven experience in RTL2GDS flows and methodologies. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification). • 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!

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way. In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams. What you'll be doing: • Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design). • Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues. • Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks • Taking part in flows development and deployment What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering. • 7+ years of actual design experience in chip design • Solid hands-on RTL design skills in System-Verilog • Proficiency in at least one scripting languages like python, bash, tcl. • Great teammate. Way to stand out from the crowd: • Passion for quality. Experience with delivery to physical design, emulation, firmware and other customers 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! #LI-Hybrid

NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high performance computing, enterprise, data centers, cloud computing, and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focused on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our DataStream and TCP/IP acceleration. What You'll be Doing: • Working closely with board design engineers, you'll perform PCB layout of high-speed/high-density value-conscious PCBs for the product engineering unit at NVIDIA, using Cadence PCB design tools Allegro 22.1 and Capture • Your focus will be on the complete development of PCB layout, floor planning and detailed component placement, and constraint management, with a concept of topology and signal/trace integrity • Be responsible for the design releases required generation of artwork files, ODB++, test reports, and electronic PCB documentation • The designs you create will need to follow SI constraints • Response on PCB manufacturer EQ/TQ • Review Gerber/ODB++ files • Creating PCB footprint What We Need to See: • Practical Electrical Engineer, or BSc in Electrical Engineering • 5+ years of experience in high-speed PCB design • Knowledge of PCB design and consideration for layout, routing, and timing constraints, DFM, DFA • Deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity • 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 • Excellent interpersonal and communication skills Ways to stand out from the crowd: • Experience in 8GHz+ range PCB design using back-drilling stacked/stager uVIA technology with minimum laminations. • Building complex multi-layer HDI PCBs for very dense placement and routing • DFT constraints in volume manufacturing We are an equal opportunity employer and value diversity at our company. We do not discriminate based on 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 an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of NVIDIA datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments. What You’ll Be Doing: • Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features. • Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems. • Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry. • Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability. • Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams. • Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production. • Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture. • Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs. What We Need To See: • B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience. • 9+ years of experience in networking, system software, embedded software, firmware, or datacenter infrastructure. • Proven experience in software architecture, or technical leadership roles. • Deep understanding of networking concepts and protocols such as Ethernet, TCP/IP, RDMA/RoCE, congestion control, QoS, virtualization overlays, and traffic management. • Strong background with DPUs, SmartNICs, or other high-performance networking devices. • Experience with system management, provisioning, monitoring, telemetry, diagnostics, or lifecycle-management flows. • Familiarity with management protocols and frameworks such as Redfish, PLDM, MCTP, IPMI, gNMI, SNMP, Netconf, REST, or gRPC-based APIs. • Ability to lead cross-functional architecture discussions across software, firmware, hardware, validation, product, and customer-facing teams. • Excellent written and verbal communication skills, including the ability to create clear architecture documents and present trade-offs. Ways To Stand Out From The Crowd: • Experience defining software architecture for DPU products, including management, telemetry, QoS, performance, security, virtualization, or offload features. • Hands-on background with Linux networking, device drivers, firmware, embedded Linux, BMC software, DOCA, DPDK, OVS or Kubernetes networking. • Experience with performance counters, profiling tools, eBPF, Prometheus, Grafana, dashboards, heat maps, or large-scale telemetry systems. • Experience in defining and developing GAI-based analysis tools to extract insights from telemetry data and streams. • Background in RAS, diagnosability, serviceability, field failure analysis, production debug, or customer escalation handling. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working with us, and we are building the networking platforms that power the AI revolution. If you are passionate about NICs, DPUs, system software, and large-scale AI networking, and you want to shape the management, telemetry, QoS, and performance architecture of future NVIDIA platforms, we want to hear from you.

NVIDIA is the world leader in accelerated computing, defining the future of AI and high-performance networking. We are seeking a proactive, highly technical Product Security Compliance Architect to join the NVIDIA Networking product security team. In this role, you will bridge the gap between deep system engineering, legal frameworks, and security execution across technologies powering the world’s largest AI clusters. You will act as a technical engine —refining Secure PLC processes, driving complex security certifications, and building automated workflows that scale governance across hardware, firmware, and software products. Integrate global cybersecurity regulations directly into modern hardware and software engineering workflows. You will optimize Secure PLC frameworks, lead technical product evaluations, build compliance automation, and align technical roadmaps with evolving international security standards to scale our product security posture without friction. What You Will Be Doing: • Translate Regulations into Technical Requirements: Analyze global cybersecurity regulations and legal mandates, converting complex compliance standards into actionable technical specifications and engineering rules. • Architect Secure PLC Workflows: Optimize, adapt, and scale Secure Product Development Lifecycle processes, embedding security engineering frameworks directly into active software, firmware, and hardware development pipelines. • Drive Technical Certifications and Audits: Lead end-to-end security evaluations and certification initiatives, conducting deep-dive technical reviews and working directly with lab evaluators and engineering teams. • Build AI and Engineering Automation: Implement hands-on automation frameworks and agentic AI workflows to streamline compliance tracking, evidence collection, and security verification directly within engineering systems. • Partner Across Technical and Executive Teams: Serve as the technical authority partnering with Hardware, Software, Product Management, and Legal teams to deliver actionable insight into our overall product security architecture and compliance readiness. What We Need To See: • Broad Compliance Framework Mastery: Extensive background in secure product and system development lifecycle frameworks, risk management standards, and a strong awareness of global security regulatory trends. • Education and Experience: BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience, with 5+ years of experience in security engineering, product security governance, or secure development programs. • Deep Secure Development Mastery: Practical expertise with secure development lifecycles, threat modeling, risk engineering, and hardware/software security practices. • Technical and System-Level Depth: Ability to analyze system architectures, low-level firmware, and codebases to ensure technical implementations match governance mandates. • Technical Evaluation Experience: Direct experience leading hardware, firmware, or software products through third-party security evaluations, testing, or formal validations. • Hands-On Coding and Automation Skills: Shown ability to write code and build automation scripts, AI workflows, or tooling to address complex engineering and operational security tasks. • Multi-Functional Technical Leadership: Strong communication and engineering collaboration skills to drive alignment and execution across multidisciplinary technical teams. Ways To Stand Out From The Crowd: • Regulatory Conformity Experience: Experience preparing tech product lines for major conformity assessment regimes (e.g., EU CRA, GDPR). • Hardware and Embedded Systems Security: Direct exposure to silicon security, microarchitectures, low-level firmware, or embedded devices. • Cryptographic Validations: Hands-on experience driving product certification pipelines or module validations with accredited laboratories (e.g., FIPS 140-3, Common Criteria). • Industry Certifications: Credentials highlighting technical security mastery NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Host and Systems Performance Manager to join NVIDIA’s Networking Performance team! In this role, you will lead a team of engineers who measure, analyze, and improve NIC, host, DOCA networking stack, and system-level performance across NVIDIA networking products and platforms. We work across the full product lifecycle, from early architecture and pre-silicon modeling through post-silicon bring-up, validation, characterization, and GA readiness. We are looking for someone who enjoys building teams, turning complex performance data into clear direction, and partnering across engineering groups to improve products that support AI, HPC, cloud, and accelerated networking workloads. What You’ll Be Doing • Lead, coach, and develop a team focused on NIC, host, DOCA networking stack, and system-level performance. You will define performance test plans, methodologies, metrics, and success criteria for new NVIDIA networking technologies. • Guide pre-silicon and post-silicon performance planning, analysis, reporting, and readiness reviews. Your team will benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, DOCA, storage, security, and host networking stacks. • Identify bottlenecks across NIC, DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, DOCA, and full-system architecture. We will look to you to lead root-cause analysis, coordinate mitigation plans, and help hardware, firmware, software, architecture, validation, and product teams align on performance goals. What We Need To See • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • Experience in performance analysis, systems engineering, networking, or HPC/AI infrastructure. • 10+ years of software engineering experience, including 4+ years in a leadership or management role. • Experience with high-performance networking technologies such as RDMA, RoCE, InfiniBand, Ethernet, MPI or NCCL. • Hands-on experience with system performance analysis, benchmarking, profiling, and root-cause analysis. • Understanding of host architecture, including CPUs, memory hierarchy, NUMA, PCIe, Linux OS, drivers, firmware, and DPU/NIC interactions. • Experience creating performance test plans for pre-silicon or post-silicon phases. • Programming or scripting experience with Python and Bash; C/C++ experience is helpful. • Ability to communicate technical findings clearly and work across engineering teams. Ways To Stand Out from the Crowd • Experience with NICs or DPU architecture, networking offloads, host datapath behavior, networking services, or DPU offloads. • Experience with AI/HPC cluster performance, distributed training, inference workloads, collective communication libraries, telemetry pipelines, benchmark automation, CUDA, NCCL internals. • Linux kernel networking, DPDK, OVS, storage acceleration, or security offloads can also help you succeed in this role. We support our people with competitive compensation, health and wellness programs, financial benefits, time away from work, family support, learning opportunities, and resources that help employees do their best work. Benefits may vary by location, role, and eligibility. NVIDIA is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We consider qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or other protected status. We provide reasonable accommodations for applicants and employees with disabilities. If you need support during the application or interview process, please let our recruiting team know.

NVIDIA’s Networking business unit is looking for an experienced, high-energy Software Engineering Manager to lead a software development team within our Networking Devices Management Tools group. The group builds mission-critical tools used worldwide by leading technology companies and open-source communities to configure, manage, and debug NVIDIA’s cutting-edge networking hardware—the infrastructure powering NVIDIA AI supercomputers. In this role, you will manage and develop a team of talented engineers while remaining closely connected to the technology. Working with the group’s leadership and peer managers, you will guide detailed software design and drive the delivery of reliable, scalable, cross-platform solutions in a fast-paced and highly collaborative environment. What you’ll be doing: • Lead, mentor, and grow a high-performing software development team, including hiring, onboarding, performance management, feedback, and career development. • Own the team’s priorities and execution within the group roadmap, driving projects from provided system architecture and requirements through detailed software design, implementation, testing, deployment, and maintenance. • Provide technical and design leadership for high-performance C++ and Python management tools that interact with NVIDIA networking devices across Linux and Windows. • Drive engineering excellence through design and code reviews, automation, testing, release practices, quality standards, and the effective adoption of AI-assisted development tools. • Collaborate with the group’s leadership, peer teams, hardware, firmware, QA, product, and program-management partners to manage dependencies, resolve risks, and deliver cross-functional initiatives. What we need to see: • BSc or MSc in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. • 8+ overall years of hands-on software development experience building complex, production-quality software, with strong proficiency in C++, Python, object-oriented design, Linux, Git, debugging, and modern development practices. • 3+ years of software engineering management experience, including responsibility for people development, performance management, and successful project delivery. • Proven ability to translate system architecture and ambiguous requirements into detailed software designs and actionable execution plans while managing priorities, risks, dependencies, and delivery. • Excellent leadership and communication skills, with a proactive and collaborative approach and the ability to influence stakeholders across teams and organizational levels. Ways to stand out from the crowd: • Experience developing software for networking devices, embedded systems, hardware-management tools, or data-center infrastructure. • Knowledge of networking technologies, device configuration, telemetry, diagnostics, or hardware-debugging workflows. • Experience leading the development of cross-platform software for Linux and Windows. • Experience managing geographically distributed teams and contributing to large cross-organizational programs. • Demonstrated success improving engineering productivity, development processes, automation, or AI-assisted software development workflows.

We are looking for a Storage Software Architect to join the architecture group. You will be part of a team that shapes the next generation of storage for AI: training, inferencing, KV cache, RAG and more. Utilizing the best from NVIDIA's network products, DPUs and NICs, working closely with hardware architects, SW architects and external customers, defines the programming interfaces, protocols and management. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: • Define how storage for AI clusters should look like • Research and analyze AI storage workloads, POC ways to optimize them • Design the storage SW stack for AI, APIs, and offloads • Lead hands-on POCs • Drive HW features to next generation of DPUs and NICs What we need to see: • B.Sc., M.Sc. or Ph.D. in Computer Science or related discipline • 5+ years of experience in a storage company as senior developer or an architect • Experience with AI applications, training and inference, KV cache, RAG, vLLM, NIMs, etc • Ability to quickly adapt to new technology and go deep into new areas • Can work independently • Strong communication skills • Able to work with customers and partners • Drive new solutions based on any issues that arise 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 Networking delivers innovative, end‑to‑end InfiniBand and Ethernet connectivity solutions for servers and storage. Our portfolio includes adapter cards, switches, cables, and software designed to maximize data‑center performance with industry‑leading bandwidth, latency, and scalability. We serve diverse markets including high‑performance computing, enterprise, cloud, and Web 2.0. Our mission is to stay ahead of the market by delivering groundbreaking technologies that accelerate data and unlock new possibilities. Our Ethernet solutions are designed for sectors such as Media & Entertainment and any domain requiring advanced DataStream and TCP/IP acceleration. What You’ll Be Doing: • Lead a multidisciplinary team of 15+, including mechanical design engineers, draftsmen, mechanical librarians, and lab technicians. • Own all sustain engineering activities, including HW bug resolution and ongoing product support. • Drive task forces to investigate and resolve production issues, reliability challenges, and failure analyses. • Support design teams and take an active part in hands‑on design work. • Lead the inspection and approval process for second‑site and second‑source parts and components. • Own and continuously improve mechanical department methodologies and working procedures. • Maintain and support the CAD & PLM systems, ensuring best practices and efficient workflows. • Manage and mentor the draftsman team and technicians operating the Mechanical Lab & Workshop. What We Need to See: • B.Sc. in Mechanical Engineering or higher. • 8+ years of relevant experience, including at least 3+ years managing engineering teams in an R&D environment. • Proven expertise in mechanical engineering processes. • Hands‑on experience with electromechanical packaging, PCB/PCBA design, liquid‑cooled systems, and sheet metal design. • Strong proficiency with 3D CAD tools (Creo preferred). • Solid background in designing components and systems for high‑volume manufacturing (sheet metal, stamping, injection molding). • High awareness of quality, manufacturability, and robust production principles. • Excellent verbal and written communication skills in English and Hebrew. Ways to Stand Out from the Crowd: • Experience working in a fast‑paced, demanding R&D environment. • Proven experience collaborating with OEMs/ODMs and drafting Statements of Work. • Background in global enterprise telecommunications organizations. • Experience developing and implementing new design methodologies. • Wide understanding of AI tools related to mechanical design and design debug. We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities throughout the application and employment process.

Come be part of NVIDIA, the industry leader in AI Data Centers. We are now innovating the future of data center, and defining the next generation of networking solutions. Our team is dedicated to pushing boundaries and overcome the challenges involved in providing high performance data centers. As a Network RDMA Algorithms Architect, you'll contribute to our creative and cooperative setting, focusing on the ConnectX network adapter, SPC-X end to end solution and more exciting technologies. What you'll be doing: • Conduct research and analysis on networking solution and end to end algorithms. • Work with a creative and experienced team to outline the next generation of our RDMA load balance and congestion control algorithms. • Work on simulation environment and on real HW systems • Engage with other research teams to develop Proof of Concepts using our technology. What we need to see: • 2+ years of experience. • B.Sc. in Electrical Engineering or Computer Engineering. • High motivation to learn and explore new fields. • Proven problem-solving skills. • Excellent interpersonal skills. • Knowledge and understanding of compute and networking systems is an advantage. • Passion and attention to detail in building with a high focus on building quality. Ways to stand out from the crowd: • Passion and love for system architecture, including CPU/GPU/Memory/Storage/Networking. • Background with AI workloads. • Background with networking. • Experience in the development of simulation environments. NVIDIA values diversity in employees. We are an equal opportunity employer, not discriminating in hiring or promotions based on various protected characteristics.

We are looking for Product/ Critical Component Engineer. The position will have responsibility to enhance our growing field of high speed optical Interconnect products performance, cost and quality aspects. NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, NVIDIA is increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with people who can join us at the forefront of technological advancement. We need a talented individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production with top quality products. What you'll be doing: • The candidate will be responsible for Critical component evaluation and introduction to our interconnect products. • The candidate will work with design, HW and process groups to improve or resolve critical components aspects . • New critical component Qualification and Reliability assessment. • Evaluate High speed performance and margins of the critical component. • Run DOE’s and corners samples analysis to evaluate system level performance under different use scenarios. • Set automation tools and monitors to control critical components introduction to the manufacturing line. • Implement new screening methodologies to ensure MLNX quality standards. • Investigation of reliability issues at the CM and Customers sites. What we need to see: • BSc (MSc pref.) or equivalent - Strong statistics and data analysis background (JMP or other tools) • 3+ years of Experience in IC/Silicon manufacturing process including fab, test and assembly. • Good understanding of product/test HW/Test software/Mechanical integration • Experience or background in running a product in high volume production (ICs, systems or other). • Experience with statistics or data analysis tools , data extract tools. • Background with IC Lab measurements using source mete, Scope, spectrum analyzer, optical power meter etc. • Knowledge of electro optical devices (Lasers and Detectors). • Familiar with high speed fiber optics products, good understanding of system/IC assembly process. Ways to stand out from the crowd: • Knowledgeable in DFT/DFM/DOE techniques. • Experience in electro optical assembly lines. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on 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 hiring exceptional software engineers to build and optimize the core inference infrastructure for large language models. Join the TensorRT‑LLM team - the group defining how generative AI performs at global scale on NVIDIA GPUs. We’re looking for engineers who love squeezing every drop of throughput, memory efficiency, and scalability out of modern model runtimes. Your work will directly shape the frameworks behind state‑of‑the‑art LLM inference used across NVIDIA and the AI community. Join us to redefine what “fast” means for LLM inference - building the frameworks that power the next generation of generative AI at scale. What you'll be doing: • Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs • Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between • Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency • Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt • Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency What we need to see: • Bachelor's, Master's, or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused degree (or equivalent experience) • 5+ years of relevant software development experience. • Excellent Python programming skills, software design, and software engineering skills • Experience working with deep learning frameworks like PyTorch and HuggingFace • Experience profiling and debugging performance at all levels - Python runtime, PyTorch internals, and GPU utilization metrics • Awareness of the latest developments in LLM architectures and LLM inference techniques • Proactive and able to work without supervision • Excellent written and oral communication skills in English Ways to stand out from the crowd: • Contributions to inference frameworks such as TensorRT‑LLM, vLLM, SGLang, or similar systems • Demonstrated expertise in performance modeling, memory optimization, distributed model execution or GPU execution workflows • Hands‑on experience with NVIDIA profiling tools (Nsight Systems, PyTorch Profiler, custom benchmarking harnesses) • Strong grasp of the trade‑offs shaping inference efficiency: compute vs. memory, scheduling vs. batching, latency vs. throughput 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. #LI-Hybrid

Our Interconnect Networking Product Engineering team is looking for an excellent hardware engineer with strong coding, analysis, and debugging skills. This role requires a deep understanding of both hardware and software to develop robust test capabilities and processes. You will drive efficient integration and provide engineering support for production testing of cutting-edge product technology. You will help ensure reliable, efficient production tests with high coverage and strong outgoing product quality. What you’ll be doing: • Characterize and develop test processes of advanced interconnect products. • Play a key role in the development and bring-up of advanced hardware test solutions supporting next-generation interconnect products. • Develop embedded software capabilities packages to support various of advanced power components and Digital\ Analog ICs • Cooperate with multidisciplinary design and analysis teams for bring up, performance optimization and seamless production integration. • Lead test solution innovations to reduce test time, costs and improve overall product quality. • Develop software solutions to find, debug, and resolve problems in the production and bring-up processes. • Collaborate with overseas manufacturing and mass-production teams to improve yield, test coverage, and capacity, and to resolve production issues. • Lead advanced studies of product behavior under a wide range of system and environmental conditions. What we need to see: • BSc in Computer Science, Electrical Engineering, or a related field. • 3+ years of related experience in electronics development or integration. • Proven experience in Python development including access and control ICs, MCUs over I2C (Advantage). • Experience with Hardware products integration and HW lab measurement equipment. • Excellent communication skills and hands-on experience collaborating with global, cross-functional teams • Self learner, with strong motivation and a great teammate. Ways to stand out from the crowd: • Excellent programming, HW/SW debugging and analysis skills. • Knowledge of silicon photonics, retimers, PAM4 and high-speed communication architectures. • Familiarity with hardware test development, mass-production testing, and qualification test processes. • Architectural out-of-the-box thinking, comfortable operating in a fast-changing environment, deliver short and long term solutions for challenging requirements. • Highly motivated, end-to-end problem solver with a strong ownership mindset. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our Networking System Product Engineering team is looking for an excellent Test Design and Validation 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. The position combines design and hands-on infrastructure development, implementing and maintenance of sophisticated tools that improves development workflow and overall productivity.   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 fix 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 • Execute tests in different scopes such: regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity What we need to see: • BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field • 5+ years of related experience in software development and design • 3+ years of proven experience in Python development • Excellent knowledge of a version control system (preferably GIT)  • Linux based development • Experience with Software/Hardware products integration and HW lab measurement equipment • Experience with bringing up of large-scale automation solutions to large software teams • Excellent communication skills with hands-on experience collaborating with global teams • Self-motivation and a great teammate Ways to stand out from the crowd: • Excellent programming, debugging, performance analysis, and test design skills • A highly motivated teammate who always stays up-to-date with new technologies and test methodologies • Exposure and knowledge around application development, rest API development, configuration management and automation • Experience in tools/services development. Creativity – find solutions for challenging requirements • Orientation to Hardware and Experience in mechanics and automated JIGs

Join NVIDIA as a DPU Performance and SV Manager and play a pivotal role in inventing the future of innovative computing technology! This is an outstanding opportunity to lead a dynamic team in Israel, boosting the performance of the entire DPU Chip Develop department to new heights. What you'll be doing: • Lead and manage a group of 25+ engineers, coordinating two key teams: Performance in DV and Simulation Model, and System Validation. • Collaborate with the ARCH team to define and implement the Performance Verification (PV) Plan, ensuring comprehensive test coverage and platform integration. • Coordinate the performance emulation and functional validation processes, ensuring seamless readiness for TapeOut from a performance perspective. • Participate in post-silicon performance debugging, contributing to the flawless execution of performance improvements. • Develop and unify performance debug processes across all platforms, ensuring consistency and efficiency. What we need to see: • Proven experience in performance management within the chip build industry. • Outstanding leadership skills with the ability to manage and encourage a diverse team of engineers. • Solid technical expertise in DPU performance and system validation, accompanied by a history of effective implementation, or equivalent experience. • Strong collaboration abilities, with the capability to engage effectively with cross-functional teams to identify and achieve performance objectives. • Ambitious approach and the drive to achieve world-class performance standards. • B.Sc. in Electrical Engineering, Computer Engineering, or equivalent • 15+ years of overall experience in ASIC development/validation, including 5+ years of management experience. Join us at NVIDIA and take your career to the next level. Apply today and help us build the future of computing!

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. The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is seeking a top SOC Verification Engineer to verify the design and implementation of the world’s leading networking SoCs. In this position, you will get the opportunity to craft complex networking chips and interact directly with architects, designers, and software engineers across sites. This is your chance to shape the future of computing with a world-class team! What you'll be doing: • As a Senior SOC Verification Engineer at NVIDIA, you will technically lead a team of engineers and be responsible for verifying design, architecture, and micro-architecture using advanced verification methodologies. • Define the verification scope and contribute to the development of the verification infrastructure for SOC clock networks. • Verify firmware code, with a specific focus on hardware/firmware interactions. What we need to see: • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (or equivalent experience). • 8+ years of proven experience in SOC verification. • Proficiency in verification methodologies, including crafting reusable verification components. • Knowledgeable in verification using random stimulus, functional coverage, and assertion-based verification methodologies. • Proficiency in Object-Oriented Programming with SystemVerilog. • Proficiency in UVM methodology. • A passion for debugging and outstanding problem-solving skills. • Strong communication skills are required. Way to stand out from the crowd: • Technical leadership experience. • Prior verification experience related to clock networks is a huge plus. • Experience debugging embedded boot and reset sequences. • Experience writing verification plans. • A strong focus on verification and intuition. 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! 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/ #LI-Hybrid

NVIDIA is at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of what’s possible in VLSI CAD? Come be part of our pioneering team! What you'll be doing: • You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation. • Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods. • Research, prototype, and deploy AI-based algorithms. • Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process. • Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date. • Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices. What we need to see: • B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. • 5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows. • Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn). • Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence). • Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges. • Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make). • Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity. • Excellent communication skills and the ability to work cross-functionally in a fast-paced environment. • Self-motivation, attention to detail, and a track record of delivering robust solutions to production. Ways to stand out from the crowd: • Demonstrated experience deploying AI/ML models in production VLSI CAD environments. • Contributions to open-source AI/EDA projects or publications in relevant conferences/journals. • Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them. • Experience with cloud-based or distributed compute environments for large-scale AI training and inference. • Strong ownership, curiosity, and a passion for continuous learning and innovation. 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.

We are looking for a system engineer to join our Failure Analysis engineering team under the System Product Engineering group in the NVIDIA. As a System Failure Analysis (FA) Engineer, you are responsible for the end-to-end investigation of product failures. You act as the Failure analysis product owner diagnosing complex issues that span Hardware, Software, Firmware, and Mechanical boundaries of the investigation, synthesizing data from all engineering disciplines to reach a definitive root cause. While you provide the architectural oversight for the team, you remain deeply technical and active in the laboratory environment. ​ What You’ll Be Doing: • ​Hands-on Lab Investigation: You are active in the lab environment. You perform advanced debugging, characterize system behavior, run reproductions of failures in the lab, and utilize sophisticated lab equipment to validate hypotheses, bridging the gap between high-level data and physical hardware reality. • Multidisciplinary Failure Analysis: Lead deep-dive investigations into system-level failures, understand and analyse customer usage for the product, diagnose how software execution, firmware logic, and hardware components interact to cause specific failure modes. • ​Root Cause Ownership: Drive the investigation lifecycle from initial symptom to final physics-of-failure or logic-error identification. • ​Task Force Leadership: Orchestrate and lead cross-organizational technical task forces at the company level. You align experts from HW, SW, Mechanical, and NPI teams to solve high-priority technical problems. • ​Advanced Data & AI Integration: Define and utilize sophisticated data analysis tools and AI-driven methodologies. You correlate customer failure patterns with production telemetry and RMA history to identify hidden trends and systemic risks. • ​Customer Quality Support: Take part in the customer interface by interacting with NVIDIA’s Customer Quality Engineers. You provide the deep technical evidence and root-cause clarity needed for quality reports and high-level technical presentations. • ​Strategic Lab Direction: Define the high-level debug strategy and complex test plans for the lab. You guide hardware practical engineers on characterization requirements and system-level stress testing.​ What We Need to See: • ​​Lab Proficiency: Expert-level experience with lab equipment and the ability to conduct complex characterization on state-of-the-art hardware. • System Engineering Depth: B.Sc/B.Tech in Electrical Engineering, or a related technical field. • ​Product Development Experience: 5+ years of experience in Product Development, System-Level Debugging, or Architecture. You must understand how a product is designed and manufactured to effectively analyze its failure. • ​Full-Stack Debugging Skills: Proven ability to troubleshoot issues where the hardware, software, and firmware interface. You are comfortable navigating different technical domains to find a root cause. • ​Data Fluency: Experience using data analysis tools and a strong interest in applying AI/Machine Learning to automate and scale failure analysis processes. • ​Leadership Presence: The ability to lead technical teams through high-pressure investigations and clearly communicate findings to both engineering and quality stakeholders. ​ Ways to Stand Out from the crowd: • ​Hybrid Technical Background: Experience in Board Design combined with SW or Firmware development. • ​NPI to Mass Production Expertise: A track record of solving technical problems during the transition from prototype to high-volume manufacturing. • ​Data Tooling: Experience building custom Python scripts or SQL dashboards to visualize and analyze global product failure distributions. • ​Failure Avoidance Mindset: Ability to provide technical feedback to R&D teams based on FA findings to improve the robustness of future products. 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 proud to be an equal opportunity employer as we highly value diversity in our current and future employees.

NVIDIA Networking delivers innovative end-to-end InfiniBand and Ethernet connectivity solutions for servers and storage systems. Our portfolio includes adapter cards, switches, cables, and software, all designed to maximize data center performance with industry-leading bandwidth, latency, and scalability. We serve a wide range of markets, including high-performance computing (HPC), enterprise, cloud, and Web 2.0 environments. Our mission is to stay ahead of the market by delivering breakthrough technologies that accelerate data processing and unlock new possibilities. Our Ethernet solutions are also tailored for data-intensive industries such as Media & Entertainment and other domains requiring advanced DataStream and TCP/IP acceleration. What You’ll Be Doing • Lead simulation-driven R&D efforts for next-generation data center hardware. • Perform advanced mechanical, structural, thermal, and fluid (CFD) simulations to drive design optimization. • Develop and execute experimental setups to validate simulation models through empirical testing. • Correlate simulation results with physical test data to improve model fidelity and refine boundary conditions. • Investigate reliability issues and conduct failure analyses to support robust product development. • Collaborate with cross-functional design teams while contributing hands-on to mechanical design activities. What We Need to See • B.Sc. in Mechanical Engineering or higher (M.Sc. or Ph.D. preferred). • 6+ years of relevant experience in an R&D environment. • Strong expertise in finite element analysis (FEA), thermal analysis, and computational fluid dynamics (CFD). • Proven experience correlating simulation results with physical testing to enhance model accuracy. • Deep proficiency with simulation tools such as Ansys (Icepak, Workbench, Mechanical, Fluent) and MATLAB. • Demonstrated ability to influence design decisions early through analytical “back-of-the-envelope” calculations and rapid modeling. • Proficiency in 3D CAD tools (Creo preferred). • Excellent written and verbal communication skills in English and Hebrew. • Self-driven, highly motivated, and capable of working both independently and as part of a team. • Strong organizational skills with the ability to manage multiple priorities in a dynamic, cross-functional environment. Ways to Stand Out from the Crowd • Expertise in electronics cooling and packaging, including thermal interface materials (TIMs), heat sink optimization, and liquid cooling systems (cold plates, manifolds, CDUs). • Strong understanding of structural dynamics, including shock and vibration standards for high-density server environments. • Advanced CAD capabilities (e.g., Creo, SolidWorks, NX), including model preparation for simulation (simplification, defeaturing, mid-surfacing). • Background in global enterprise telecommunications organizations and experience developing and implementing new design methodologies. • Familiarity with AI tools for mechanical design, simulation, and debugging. NVIDIA is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations throughout the application and employment process.