Jobs in Yokneam

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.

We are looking for a highly experienced Principal ASIC Engineer with a strong background in ASIC design to join our Chip Design Methodologies team based in Tel Aviv and Yokneam. This team is responsible for establishing ASIC design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. It plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. As a Principal Engineer, you will serve as a technical leader and trusted authority, setting the technical direction for design methodologies across the organization and driving cross-team initiatives that shape how our chips are built. This role offers an exciting opportunity to think innovatively and make a significant, lasting impact within a dynamic, technology-focused organization. What You'll Be Doing: • Define the technical vision and drive ground-breaking methodologies, micro-architecture and innovations to create a flawless chip design development experience • Lead the evaluation, development, and assimilation of AI-based tools and flows, championing their adoption across design teams • Collaborate with and influence chip design stakeholders and peers across the teams to understand existing problems and architect the best solutions and methodologies • Act as a key technical interface with EDA vendors to evaluate cutting-edge tools/technology and lead their integration into our development process • Mentor engineers, develop training sessions, and guide designers on best design practices • Architect and develop shared design code and solutions to be widely adopted by the chip design teams • Drive cross-functional, organization-wide initiatives and align technical roadmaps across multiple teams What We Need to See: • BSc. degree in Electrical Engineering • 15+ years of hands-on pre-silicon design experience • Proven track record of technical leadership and driving cross-team initiatives to completion • Strong interpersonal skills, a passion for innovation, and a demonstrated ability to mentor and influence senior engineers • Experience with AI-based development is an advantage Ways To Stand Out from The Crowd: • Broad system-level understanding of chip design development and flows • Ability to influence technical direction across an organization • Passion for innovation, quality, efficiency, and flow automation • CDC, Power saving technics (clock gating, power gating, etc.) NVIDIA is widely considered to be one of the technology world’s most desirable employers and has been ranked Israel’s most desirable employer for two consecutive years (2024-2025), reflecting our culture of innovation and excellence, and people-first values. Are you a creative and autonomous engineer who loves a challenge? Come join our networking chip design team and help us developing great products by bringing innovation and raising the efficiency and the quality standard in the team.

NVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We seek a highly motivated and experienced System Architect specializing in Software for Open Networking in the Cloud (SONiC) and Switch Abstraction Interface (SAI), to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent NVIDIA in open-source projects, technical conferences, and standard development organizations. What you'll be doing: • Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms. • Define robust architectures and technical requirements for SONiC and other Network Operating Systems (NOS) that use SAI, for both hardware platforms and simulation environments. • Actively participate in SONiC and SAI open-source communities as well as other industry technical discussion groups and drive the technology roadmap and NVIDIA's initiatives. • Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans. • Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams. • Close work with product marketing, program managers, and account managers to ensure the successful execution of projects. • Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups. • Promote innovation through the design and implementation of Proof-of-Concept (PoC). What we need to see: • B.Sc., M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering. • 15+ years of experience in embedded software development for networking products, including 5+ years as a technical representative in open-source communities and standard organizations. • Expert-level knowledge in Ethernet/IP technologies, networking features and protocols, system software designs, SAI, and SONiC detailed architecture, including end-to-end testing. • Excellent understanding of large-scale network behavior, network simulation, and the effect of distributed computing workloads on the network. • Demonstrated ability to maintain technical foresight, build technical roadmaps, conduct deep research and development into new technologies to generate innovative ideas and functional applications. • Leadership skills and accountability, including of past projects. • Clear verbal and written communication with the ability to build consensus within a large organization. • Possess problem-solving and critical thinking skills. • Ability to operate in a highly dynamic environment. Ways to stand out from the crowd: • Deep involvement in SONiC and SAI open-source communities alongside other relevant technical forums. • Extensive knowledge in various Switch ASIC hardware and software abstraction. • Demonstrated ability to prototype ideas and demonstrate their value. • Applying ML/AI methods to solve networking problems. 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA is looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. You’ll work on the software that accelerates the development of NVIDIA’s industry-leading networking chips – highway for the AI revolution. We're looking for someone who combines strong coding skills with preferably a solid understanding of chip design or verification. If you’re excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, you’ll feel right at home here. What you’ll be doing: • Develop software tools for NVIDIA’s chip design and verification flows • Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality. • Own your solutions end-to-end — from idea to delivery to support. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering. • Total of 5+ years of experience developing software tools for chip design/verification • Proficiency in software engineering, with strong debugging and system design skills. • Strong communication skills and a proactive approach to working with users and cross-functional teams. Ways to stand out from the crowd: • 2+ years of hands-on experience in chip design or verification. • Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements. • Experience in leading or contributing to cross-team technical discussions to define software solutions • Passion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios. • Proficiency in Python NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers.

NVIDIA Networking division is looking for an excellent System Product Engineer! NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. The System product engineer is responsible for stabilizing hardware products from the first build unit through ramp-up and transition to high-volume mass production. This role plays a critical part in ensuring product quality, yield, and test robustness for NVIDIA’s cutting-edge platforms by leading debug infrastructure development, systematic failure analysis, and data-driven continuous improvement across the NPI lifecycle. What you'll be doing: • Own end-to-end product stabilization from first article to production release. • Develop and maintain hardware debug infrastructures, tools, and methodologies to support efficient root cause analysis. • Monitor, analyze, and improve yield performance during NPI. • Perform deep-dive failure analysis and root cause investigations to improve product robustness, quality, and throughput. • Improve test stability, coverage, and repeatability while reducing false failures. • Collaborate closely with Mechanical NPI engineers, Test Development teams, R&D, and manufacturing partners. • Apply data analysis techniques to identify systemic issues, trends, and optimization opportunities. What we need to see: • B.Sc. in Electrical Engineering. • 4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design. • Proven hands-on experience in HW debugging. • Strong problem-solving abilities with a diligent approach. • Outstanding interpersonal and communication skills in English. • Ability to thrive in a collaborative and dynamic environment. Ways to stand out from the crowd: • Background with test design and HW lab equipment. • Experience with data/yield analysis. • Background with JMP and/or other data analysis tools. • Experience working with a manufacturing environment. • Basic programming knowledge (C, Perl, Python) in Linux environment. NVIDIA has 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.

NVIDIA is seeking a talented Product Hardware Engineer to become part of our top -class Networking Silicon engineering team, where we design and develop some of the most advanced high-speed optical communication devices in the industry. This is your opportunity to be part of an exceptional company with an inspiring work culture, where you will play a key role in ensuring the reliability and peak performance of our cutting-edge optical products. Widely regarded as one of the most attractive employers in the technology landscape, NVIDIA brings together some of the brightest and most passionate minds in the field. Are you creative, self-driven engineer who is up for the challenge? What you will be doing: • Work with Design and Manufacturing Engineering teams to develop the most robust test solution for mass production • Full responsibility for electrical specification, schematic design, components selection and layout considerations for our testing platforms • Developing test plans and coverage for future / current products • Work with process groups to improve or resolve test/yield/quality issues after release • HW lab debug What we need to see: • B.Sc. in Electrical Engineering • 3+ years of experience with Digital circuits, Power and High-speed design • Good understanding of product/test HW/Test software/Mechanical integration • Strong statistical and data analysis background (JMP or other tools) • Strong Scripting abilities and hands on Python experience. • Expert problem solving, multi-tasking and prioritization ability • Ability to drive projects to full execution • Strong presentation and interpersonal skills • Self-Learner and a great teammate Ways to stand out from the crowd: • Background with electro optical devices (Lasers and Detectors). • Familiarity with high-speed fiber optics products, power circuits and filters design • Experience with IC Lab measurements using source meter, Scope, spectrum analyser, optical power meter etc. • Knowledgeable in DFT/DFM/DOE techniques. • Experience in electro optical assembly lines. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We don't just build the hardware and software that powers the AI revolution — we are building the AI that designs the next generation of both. Our team sits at the intersection of inference software and GPU architecture, creating autonomous LLM-driven systems that reason about hardware, write high-performance CUDA, and automate the complex loops of architectural simulation, analysis, and optimization. We are looking for a senior LLM Agents Architect to work hands-on with hardware architects, verification engineers, GPU performance experts, and software developers to build end-to-end agent flows that drive significant improvements in kernel optimization, architectural exploration, and developer efficiency. What you'll be doing: • Design and build agentic AI systems that generate, analyze, and optimize GPU compute kernels — targeting speed-of-light performance on NVIDIA hardware. • Collaborate with GPU architects and performance engineers to encode domain expertise — memory hierarchy trade-offs, occupancy tuning, instruction-level reasoning — into agent workflows that rival hand-tuned optimization. • Build automated performance forensics agents capable of ingesting large-scale simulation traces and Nsight profiler data to identify bottlenecks and propose architectural or software mitigations. • Partner with HW architects to develop agentic flows for GPU architectural studies — enabling rapid what-if analysis across micro-architecture configurations such as cache sizing, memory controller design, and compute unit scaling. • Explore agentic approaches to HW/SW co-design challenges, including replacing or augmenting graph-compiler functionality (e.g., TorchInductor) with LLM-driven optimization and code-generation pipelines. • Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions. • Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements. • Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for NVIDIA's teams. What we need to see: • 8+ years in applied ML/AI or large-scale systems, with 2+ years crafting agentic or LLM-powered applications in production environments. • B.Sc in Computer Science / Electrical Engineering. • Solid grounding in computer architecture: memory hierarchies, parallelism models, pipelining, and cache behavior. Specific familiarity with NVIDIA GPU architecture — streaming multiprocessors, warp scheduling, shared/global memory model, and occupancy reasoning — is essential. • Hands-on CUDA programming experience: writing, profiling, and optimizing GPU kernels — not just calling into CUDA-accelerated libraries. Comfortable with tools such as Nsight Compute, Nsight Systems, or equivalent profiling workflows. • Proven ownership of at least one end-to-end agentic system or LLM application: requirements, architecture, implementation, evaluation, and incremental hardening in production — not just experience with off-the-shelf frameworks. • Strong software engineering skills in Python and one systems language (C++ preferred). • Proficient in tool use, RAG pipelines, and model adaptation techniques for building agentic systems. • Demonstrated ability to collaborate with HW/SW domain experts and translate their heuristics into deterministic tools, constraints, and evaluation metrics. • Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority. • Track record of building observability for AI systems: dataset/version management, offline test suites, online telemetry, guardrails/safety checks, and rollback plans. ​ Ways to stand out from the crowd: • Familiarity with the PyTorch compilation and lowering stack (torch.compile, TorchDynamo, TorchInductor, Triton, down to PTX), and with GPU graph compilers, kernel fusion strategies, or auto-tuning frameworks. • Background in performance engineering for HPC or GPU-accelerated workloads, including experience with performance modeling or hardware simulators. • Familiarity with distributed processing, multi-GPU workloads, and networking (e.g., NVLink, InfiniBand). • Familiarity with frontier agentic coding tools (e.g., Claude Code, Codex, Cursor) — understanding their underlying architecture: tool orchestration, context management, and autonomous task execution patterns. • Hands-on experience building a domain-specific coding agent — whether on top of frontier agentic harnesses (e.g., Claude Code, Codex SDK) or lower-level agent frameworks (e.g., LangChain/LangGraph deep agents, CrewAI). Comfortable with the design choices that make a coding agent useful in practice: task scoping, tool and context curation, evaluation, and failure recovery Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is looking for a dedicated SoC Clocks Design Automation Engineer to join our Networking Silicon team. In this role, you’ll focus on developing and supporting clock-related design flows and methodologies for SoC and networking chips, ensuring efficient and high-quality design implementation. You’ll also chip in to SoC top-level automation and integration activities, building on existing flow infrastructure to improve efficiency and consistency across projects. Introduction What you'll be doing: • Develop and maintain design automation and methodologies for SoC and networking clock flows. • Collaborate with design, STA, and project teams to ensure timely and high-quality design closure. • Develop and improve SoC top-level automation scripts and flows built upon existing infrastructure and tools. • Support SoC integration and construction flow activities across multiple projects. • Assist in timing, power, and noise analysis to ensure efficient performance. What we need to see: • B.Sc. or M.Sc. in Electrical or Computer Engineering, or relevant professional experience. • At least 2 years of confirmed experience in SoC design, design automation, or methodology development. • Strong programming or scripting skills in at least one language (Python preferred; Perl, Tcl, or Make are advantages). • Understanding of physical design concepts including placement, routing, timing closure, and ECO implementation. • Familiarity with EDA tools for synthesis, place-and-route, and timing analysis (Synopsys or Cadence flows). • Strong analytical, problem-solving, and soft skills. Way to stand out from the crowd: • Experience developing or maintaining SoC design or automation flows. • Knowledge of timing-related analysis (crosstalk, noise, delay). • Background in power or timing optimization techniques. • Collaborative attitude with the ability to work effectively across multi-functional teams. • Self-motivated and eager to learn while improving existing design flows. 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!

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 looking for a top physical design engineer with a curiosity about SOC design optimization, physical integration, chip build and assembly and verification. You should have real passion for methodologies and clock distribution solutions that enable SOC creation in the most optimized way. In this position, you will get the opportunity to build complex networking chips and directly contact unit-level owners, Physical Design, CAD, Package Design, Software, DFT and other teams. What you'll be doing: • Designing and implementing SOC level clock requirements • Daily work involves aspects of chip level design, including partitioning, CDC, trial synthesis, design quality checks • Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, resolve design quality issues What we need to see: • B.SC. in Electrical Engineering/Computer Engineering. • 3+ years of confirmed experience in chip design • Shown hands on physical design skills in clock distribution in tight multi power and timing/layout constrained products. • Proficiency in at least one common scripting languages like perl, python, bash, Tcl. • Phenomenal teammate. Ways to stand out from the crowd: • Passion for quality. Experience with delivery back to RTL, to physical design, and other customers At NVIDIA, you will be immersed in a diverse and encouraging environment where everyone is encouraged to do their best work. Join us and see how you can make a lasting impact on the world. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to take your engineering career to the next level? NVIDIA, a world-class technology company, is seeking a passionate Package Engineer to join our team in Israel. In this role, you will have the opportunity to collaborate with several design and program teams in the development of sophisticated IC substrates for our groundbreaking products. At NVIDIA, we are committed to delivering exceptional solutions in a wide range of sectors, and we are looking for engineers who share our passion and dedication to making a difference in the world through their inventions. As a Package Engineer, you will work closely with SI, layout, and ASIC design teams to develop complex, top-of-the-line ASIC packages. You will be responsible for planning schedules, resolving costs, packaging, manufacturing, and electrical design issues. What you will be doing: • Leading development of cutting-edge microelectronics packaging of NVIDIA Networking Business Unit’s future products, evaluating NVIDIA products for reliability and performance. • Review manufacturability readiness at each milestone. • Work with world leading vendors to develop highly challenging packaging solutions. • Leading the development of groundbreaking microelectronics packaging for NVIDIA Networking Business Unit's future products • Collaborating with world-leading vendors to develop highly ambitious packaging solutions • Thriving in a dynamic and challenging environment • Join and lead task forces to investigate and support production excursions, failure analysis and reliability issues and establish quality standards. • Monitor substrate and assembly production KPIs and collaborate with cross functional teams to define and monitor Yield Improvement Plans for continuous improvement and establish quality standards. • Lead process changes reviews, prepare and present data in Change Control Board meetings, lead technical reviews of product changes throughout the supply chain. What we need to see: • BSc or equivalent Mechanical/Material Engineering degree, or any related equivalent experience. • 2+ years of relevant work experience in the semiconductor packaging or equivalent experience, development and manufacturing. • Basic design skills, such as using 2D ArtiosCAD, and 3D NX/SolidWorks/Creo applications. • Experience in DFM, understand tooling design, manufacturing processes, material properties and metrology tools. • High awareness for quality, robustness, and manufacturability. • High self-learning and self-motivation skills, fostering a culture of continuous learning, ongoing process improvement and proactive approach. • Leadership skills, capability to lead cross company projects that involve cross functional teams in different locations. • Curious and creative problem solver, well organized and multi-tasker. Ways to stand out of the crowd: • Hands-on FEA mechanical simulation experience - Advantage • Team / Group / Project management - Advantage • Experience with manufacturing environment and manufacturing statistics tools • Background in engineering semiconductor manufacturing processes Join us at NVIDIA, an equal-opportunity employer that values diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are dedicated to providing reasonable accommodations and adjustments to applicants with disabilities throughout the recruitment process. If you require accommodations, please let us know, and we will work with you to meet your needs. Apply now to be part of our world-class team and contribute to the future of computing! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com

NVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We are looking for a highly motivated and experienced SW networking senior software engineer to join our SAI development team. This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the world’s biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. What you’ll be doing: • Develop first tier features, with groundbreaking multi-protocol networking technology. • Lead features from planning through design and development, until delivery to the customer. • Work closely with other development teams, arch and verification to ensure features delivery on time with high quality. • Gain deep understanding of NVIDIA products and technologies. What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field. • At least 5 years experience in development positions in the industry. • C programming experience - must, Python programming experience- an advantage • High technical understanding and learning skills – specification, design, programming, integration and debugging abilities • Self-motivated, ability to work with little definition and supervision while multi-tasking and prioritizing across a number of projects and initiatives • Experience with testing methodologies, some tasks will include developing sophisticated fully automated testing environment • Excellent English communication and leading skills Ways to stand out from the crowd: • Experience in a Ethernet switching product development, Routing / Bridging protocols knowledge • Experience in a multi-functional team and collaborate with teams in oversea sites. • Linux networking knowledge, TCP/IP stack NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and diligent people in the world working for us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid