Jobs in Tel Aviv-Yafo

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be in charge of developing physical design, synthesis, STA and Logic eq methodologies for implementation of networking chips and SOCs. • Work closely with block owners. full Chip STA engineers and project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • At least 2 years of relevant experience • Proficiency using Python, Perl, Tcl, Make scripting. • Expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. • Knowledge in physical design and optimization e.g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power required and implementing them through ECOs is required. • Knowledge in process variation effect modelling and experience in design convergence taking into account variations. • Successful track record of delivering designs to production is necessary. • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus) • Experience in methodology definition / flow owner of synthesis / Place and Route/ STA steps is an advantage. • Great teammate. • Ownership, self-learning skills, and ability to work autonomously. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

NVIDIA's Networking AI Platforms Security group is redefining how security operates at scale by embedding AI at the core of its detection, defense, and engineering workflows. We are seeking a Senior Security Architect to design, build, and deploy intelligent AI agent systems tackling NVIDIA's most complex security challenges. Working alongside security architects, engineering, and platform teams, this role offers a rare opportunity to shape the future of AI-powered security at one of the world's most innovative companies! What you'll be doing: • Design and deploy AI agent systems for security workflows: PQC transition, attacker-defender frameworks, threat modeling, and automated mitigation deployment. • Build frameworks integrating LLMs, RAG, and automation pipelines with security data sources and engineering workflows. • Partner with product and architecture organizations to embed security requirements early and translate threat landscapes into scalable solutions. • Own the full agentic system lifecycle: architecture, prototyping,productization, testing, and operational stewardship. What we need to see: • BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or related field, or equivalent experience; Ph.D. preferred. • 5+ years of experience. • Proven experience building agentic systems, LLM integrations, RAG pipelines, or workflow orchestration in production. • Strong security foundation: cryptography, PKI, key management, Root of Trust technologies, Cloud security and secure software design. • Excellent Python skills and system design abilities across software, firmware, and cloud environments. • Strong communication skills with the ability to drive cross-functional projects in a high pace organization. Ways to stand out from the crowd: • Experience with PQC migration, cryptographic inventory, or crypto-agility programs. • Background in security automation: attacker-defender simulation, red-team tooling, SAST/DAST, or vulnerability management. • Data science experience on large-scale networking and security telemetry: anomaly detection, behavioral analytics, or risk scoring. • LLM fine-tuning expertise or open-source/research contributions in AI and security intersection. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Principal Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! 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: • Join the cluster-manager team - the TOMA team. The cluster-manager is a highly distributed code that interacts with all the other components and is responsible for the life-cycle of the volumes and their RAIDs. • Design and develop cluster-manager functions • Coordinate testing of cluster-manager functionality with the QA team • Acquire understanding of the algorithms, the technicalities and the interaction with the other components • Analyze challenging bugs and customer cases, identifying issues in the cluster-manager and often in other components • Drive new solutions based on any issues that arise • 100% hands on role - large scale production system. The work involves feature design and implementation, debugging, and maintaining existing production code written in C/C++. What we need to see: • B.Sc. or M.Sc. or Ph.D. in Computer Science or related discipline (or equivalent experience). • 15+ years of experience as a senior developer, preferably in a storage company. • Comprehension of large and sophisticated systems. • Shows strong potential to become a tech leader. Ways to Stand Out From the Crowd: • Independence. • Strong communication skills. • Ability to work with customers and partners 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 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.

We are seeking a Senior RTL Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What you'll be doing: In this role on the FullChip team, you will lead system-level integration. You will work directly with unit-level, Physical Design, CAD, Software, DFT, and other groups to ensure smooth integration and outstanding performance. You will: • Lead the integration of complex RTL builds into a cohesive, high-performance chip • Collaborate with cross-functional teams to resolve integration issues and optimize system-level performance • Ensure that builds meet strict quality and performance standards • Drive the development and maintenance of integration scripts and tools • Participate in build reviews and provide feedback to improve build quality and efficiency What we need to see: • BSc in Electrical Engineering or Computer Engineering, or equivalent experience, with a minimum of 5 years of relevant industry work experience • Proven experience in Front end integration and RTL build • Excellent analytical and problem-solving skills, capable of flawlessly identifying potential issues and providing effective solutions • Previous experience working with connectivity tools • Strong coding skills in Python or other industry-standard scripting languages • Outstanding communication skills to collaborate with various groups and build consensus Ways to stand out from the crowd: • Previous experience in verification is an advantage • Prior experience in RTL build automation is a plus We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking a visionary AI Verification Engineer to join our Chip Design Methodologies team. We’re expanding how we use AI across all our verification methods. In this role, you’ll help us figure out where AI fits best and build the 'brains' behind our tools. You’ll help us leverage AI, utilizing LLMs and machine learning—to help us debug complex chips faster and more efficiently What You’ll Be Doing • AI Ecosystem Development: Build and deploy an AI verification environment, moving from manual testbenches to automated stimulus generation and coverage closure. • Next-Gen Tooling: Develop and integrate AI agents and ML models directly within the verification toolchain to automate intent-to-testbench workflows. • Intelligent Debugging: Create and refine AI-based debug assistants that can analyze simulation failures, categorize bugs, and suggest fixes autonomously. • Methodology Innovation: Research and apply groundbreaking AI approaches (such as Reinforcement Learning or LLMs) to address the "state-space explosion" in chip verification. • Collaborative Intelligence: Work with design automation teams and EDA vendors to ensure our AI solutions provide end-to-end efficiency from RTL to GDS. • Leadership & Training: Act as the authority, training the broader team on how to bring to bear AI tools and "human-in-the-loop" methodologies. What We Need to See • Bachelor’s Degree in Electrical Engineering, Computer Science, or equivalent experience. • 8+ years of hands-on pre-silicon verification experience. • Strategic Innovation: A perspective geared toward automation and a desire to redefine traditional "manual" verification workflows. Ways to Stand Out from the Crowd • AI for EDA: Experience building or using AI tools specifically designed for hardware verification (e.g., automated coverage, log analysis, or bug prediction). NVIDIA houses the most forward-thinking minds in the world. Are you a creative engineer ready to build the first truly self-verifying chip environment? Come join our team and help us define the future of hardware powered by artificial intelligence.

NVIDIA is looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies. As a design engineer in the DFT design team at NVIDIA, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals. What you'll be doing: • In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies. • As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production. • Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks. What we need to see: • B.Sc. in Electrical Engineering or Computer engineering or equivalent experience. • 5+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Strong debugging, problem solving and analytical skills. • Strong communication and social skills are required. • Ability to work in a geographically diverse team environment. • Self motivated, independent and target oriented. Ways to stand out from the crowd: • Prior Design or Verification experience. • Experience in developing sophisticated design blocks. • Integration of design elements to large cluster or full-chip. • Experience in working with back-end on area, power and timing closures. • Scripting ability. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

NVIDIA is looking for a highly motivated Senior Software Architect to join our Networking Software Architecture team in Israel. In this role, you will define and drive the software architecture for RISC-V-based networking accelerators, with a strong focus on programmable packet processing and networking acceleration infrastructure. The role is centered on the software and system foundations that enable embedded programs to be built, coordinated, secured, deployed, and performed across NVIDIA networking platforms. You will work across architecture, hardware, firmware, software, SDK, and compiler teams to establish the common foundations for programmable networking acceleration. This includes building embedded software infrastructure, defining application lifecycle flows, and enabling scalable platforms for multiple programmable acceleration use cases. This is an outstanding opportunity to influence the architecture of programmable networking systems. You will solve complex cross-stack problems and help define how NVIDIA delivers secure, high-performance, and extensible acceleration infrastructure for future products. What you'll be doing: • Establish the vision, architecture, and roadmap for the embedded RISC-V networking accelerators software stack across NVIDIA networking platforms. • Architect the end-to-end software stack for embedded program flows across SDKs, real-time operating systems, firmware, compilation, packaging, signing, registration, deployment, and loading. • Lead the definition of interfaces, abstractions, and APIs for embedded programs. • Build proofs of concept, guide technical investigations, and use data-driven analysis to validate architectural decisions. • Identify long-term infrastructure gaps and translate product requirements into clear architecture plans and implementation priorities. What we need to see: • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • More than 5 years of direct experience in embedded software development or low-level software architecture. • Extensive experience in system software, infrastructure, runtime architecture, or platform software for complex HW/SW products. • Solid understanding of low-level software concepts such as toolchains, compilers, binary formats, runtime loading, execution environments, performance optimization, and memory-conscious system building. • Experience working across multiple layers such as architecture, firmware, SDKs, compilers, operating systems or RTOS, and host software. • Strong technical and communication skills, with the ability to turn requirements into clear architecture, technical direction, and implementation plans across globally distributed teams. Ways to stand out from the crowd: • Proven experience with networking systems, packet processing, RDMA, transport protocols, or NIC software and firmware interfaces. • Experience with programmable networking, smart NICs, embedded accelerators, or RISC-V-based execution environments. • Background in compiler and toolchain flows, ELF and binary formats, signing and verification flows, or embedded program lifecycle infrastructure. • Experience with RTOS integration, board bring-up, BSP or driver development, or secure software delivery flows.

We are looking for a Chip Design Manager to join NVIDIA's Networking team! As a Chip Design Manager in NVIDIA's Networking Business Unit, you will lead a team of highly skilled engineers responsible for verifying the next generation of NVIDIA's cutting-edge network products and GPU technologies. This is a unique opportunity to make a real impact at the heart of NVIDIA's AI and HPC revolution, while working in a fast-paced, innovative environment. You will join a passionate, experienced team working at the forefront of silicon verification — using advanced methodologies and tools to ensure design correctness for world-class solutions in data centers, high-performance computing, networking, and storage. What You'll Be Doing: • Lead and grow a team of formal verification engineers focused on pre-silicon FV of complex digital designs. • Define and drive strategies and methodologies across multiple projects to prove design correctness and ensure quality. • Collaborate closely with Architecture, Design, and DV teams to identify verification needs and drive closure. • Provide technical guidance, mentoring, and support to engineers on the team. • Own planning and execution of verification deliverables to ensure high quality and timely tapeouts. What We Need to See: • BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics. • 5+ years of managerial experience leading engineering teams in chip design or verification. • 8+ years of industry experience in RTL design, functional verification, or related domains. • Strong understanding of chip design flows and verification methodologies. • Excellent leadership, analytical, problem-solving, and communication skills. Ways to Stand Out from the Crowd: • Experience with formal verification tools and methodologies (e.g., JasperGold, VC Formal). • Background in assertions, coverage models, or formal testbench development. • Track record of building and scaling high-performing engineering teams. • A passion for recruiting, mentoring, and developing talent. At NVIDIA, we believe that our people are our greatest strength. Are you a creative and driven engineering leader who’s ready to take on the challenge of ensuring correctness in the most complex chips in the world? Join us and be a part of building the future of accelerated computing

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for over 25 years. It’s a unique legacy of innovation 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 and Networking products act 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. Looking into the future, power management and power optimizations present a huge challenge in the development of silicon throughout all the development life cycles. Together, we can meet the challenge. Join the team and see how you can make a lasting impact on the world. The networking architecture team seeks a highly-skilled, leading engineer to explore, define and assimilate power optimization methods across all design disciplines. What you'll be doing: • Develop architectures, algorithms, models, and methodologies to improve power consumption of our DPU and NIC products across all design life cycles. • Lead research into innovative power optimization techniques and power modeling approaches that will drive our solutions to the next level. • Define power-aware architecture requirements and implementation strategies for next-generation products, balancing power, performance, area, and design execution considerations. • Work closely with board, package, and physical design teams to understand and mitigate design limitations: power delivery, di/dt, thermal, and signal integrity. • Collaborate across software, ASIC design, verification, and platform teams to drive power improvements end-to-end. What we need to see: • Bachelor’s or Master’s degree in Electrical Engineering or a related field from a known university. • At least 5 years of experience in ASIC design/uarch/arch/performance. • Strong EE fundamentals including knowledge of digital design, front-end and back-end practices, power analysis, and characterization. • Exceptional analytical skills with a passion for solving complex logical and system-level problems. • Excellent problem-solving, teamwork, and interpersonal communication skills. • Ability to drive complex activities involving multiple interfaces, disciplines, and teams. Ways to stand out from the crowd: • Experience as a hardware architect on high-end ASICs. • Background in computer architecture with a focus on power management, power optimization and characterization, or power modeling. • Demonstrated track record of power or performance improvements on silicon products. • Knowledge of physical design back-end practices and their interaction with power architecture decisions. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We are now looking for a Senior security researcher. NVIDIA Networking product security team is looking for an outstanding technical security researcher with hands-on experience to help us improve the security posture of NVIDIA networking software. In this role you will help reduce risk, threats, and vulnerabilities in NVIDIA networking products. What you’ll be doing: • Be involved in offensive security researcher on a wide range of products. • Assist with defining and making sure software development processes meet security and coding standards. • Perform security threat modeling for NVIDIA Networking products. • Design and make security architecture recommendations to satisfy security guidelines and requirements. • Mentor teams and developers, promoting guidelines on the best security practices. • Be a technical focal point across multiple development teams and provide hands-on security engineering expertise. What we need to see: • Academic degree in computer science, electrical engineering, or related field or equivalent experience. • Demonstrated experience of 3+ years in security research. • Familiarity with applied cryptography, threat modeling, common attack vectors and mitigation techniques. • Ability to work independently, and collaboratively in a constantly evolving environment. • Excellent communication and interpersonal skills. Ways to stand out from the crowd: • M.Sc. or PhD in computer science, electrical engineering, or related technical field. • Familiarity with the cloud environment security ecosystem. • Experience with high-scale deployment challenges. • Demonstrated security research experience and publications. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior GPU Architect, Deep Learning! The NVIDIA GPU Architecture group is looking for a world class hardware architect to help define and drive future GPU architectures for deep learning and accelerated computing. In this role, you will work at the earliest stages of product definition, with primary focus on defining architectural features for future GPUs, while also contributing to relevant microarchitectural direction and tradeoffs. You will help drive new capabilities from concept through modeling, design collaboration, validation, and silicon readiness. A key part of NVIDIA’s strength is our ability to translate workload insight into differentiated hardware. We are constantly looking for ways to improve our GPU architecture for training and inference workloads while advancing performance, efficiency, scalability, and programmability. In this position, you will focus primarily on defining new architectural features, while also shaping the supporting microarchitectural direction, evaluating design alternatives, and partnering closely with ASIC design, verification, performance, and software teams to bring new capabilities into future products. What you'll be doing: • Define and architect new GPU hardware features for future deep learning and parallel processing workloads. • Drive microarchitectural exploration across key areas such as compute pipelines, memory hierarchy, data movement, synchronization, and performance efficiency. • Analyze workload behavior and translate bottlenecks into clear architectural requirements and hardware feature proposals. • Evaluate performance, power, area, complexity, and programmability tradeoffs for new architectural directions. • Develop and use functional and performance models to study new features and refine the architecture before implementation. • Work closely with RTL, design, verification, compiler, and software teams to ensure successful execution from architecture definition to productization. • Create clear architecture specifications, validation plans, and success criteria for the features you define. • Be ready to learn, dig deep, and work across the full stack when required - from workloads and models to RTL and silicon. What we need to see: • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. • 12+ years of relevant industry experience in GPU architecture, computer architecture, or other parallel processing architectures. • Strong background in hardware architecture and microarchitecture. • Experience defining and evaluating architectural features with solid understanding of performance, power, and area tradeoffs. • Strong programming and scripting skills in C, C++, and Python. • Experience with architectural modeling, simulation, or performance analysis. • Background in parallel computing, memory systems, high performance computing, or deep learning acceleration. • Strong communication skills and the ability to drive technical work across distributed, interdisciplinary teams. Ways to stand out from the crowd: • Deep understanding of modern GPU architecture and the interaction between hardware and AI workloads. • Experience with memory subsystem architecture, interconnects, coherence, scheduling, or execution pipelines. • Experience with pre-silicon performance studies, workload characterization, and architectural correlation. • Familiarity with training and inference behavior for large-scale deep learning models. • Experience with silicon bring-up, debug, or post-silicon analysis. 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, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the next generation of AI computing platforms.

We are in search of a top-tier AI Agents applied researcher to work closely with hardware architects and software developers to develop end-to-end agentic systems that drive significant enhancements in NVIDIA's products. Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale. What You'll Be Doing: • Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources. • Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles. • Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products. • Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements. What We Need To See: • BSc/MSc in CS/CE or related field (or equivalent experience) • 10+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments. • Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation. • Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority. • Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits. Ways To Stand Out From The Crowd: • Strong software development experience • Experience with data processing and storage (e.g. SQL databases, NoSQL databases). • Networking background, with knowledge of network architectures and networking concepts At the intersection of cutting-edge innovation and global impact, we have cultivated an environment where the world's most brilliant minds thrive. We offer industry-leading compensation and a culture built on excellence. If you are a high-impact applied researcher who lives for complex problem-solving and technical mastery, you belong here. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

NVIDIA is seeking a Principal verification engineer to be a technical lead in the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and adopting new technologies. One of our main goals is to define, build and use best in class technologies make sure that the chip design team works in an efficient manner and provides high-quality deliveries at scale. This position offers the opportunity to drive foundational flows and have a profound impact in a dynamic, technology-focused company. What you'll be doing: • Define groundbreaking methodologies to create a flawless experience for verification engineers. • Mentor and guide designers and verification specialists to tackle complex technical challenges. • Identify design risks, define the verification scope, and lead infrastructure development to ensure design correctness. • Technically guide the development process of shared verification code and infrastructure to be widely used by the global chip design team. • Partner with the design automation team to provide end-to-end solutions that unify verification, simulation, and automation. • Collaborate with EDA vendors to learn about innovative tools/technology and integrate them into our long-term verification strategy. • Lead verification strategies, training sessions, What we need to see: • A Bachelors Degree in Electrical Engineering or Computer Science, or equivalent experience. • Comprehensive mastery of design and verification tools. • 15+ years of hands-on pre-silicon verification experience with a track record of technical leadership. • Exceptional interpersonal skills and ability & proven track record to promote innovation. Ways to stand out from the crowd: • Experience leading processes across multiple groups and driving meaningful, influential change in the verification lifecycle. • Deep knowledge of simulation tools and performance optimization. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you an innovative and self-directed engineer who loves a challenge? Come lead our networking verification team and help us set the global standard for efficiency and quality in our chip design team.

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 High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced AI models such as GPT and DeepSeek. As a high-performance system architect at NVIDIA, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world. What you’ll be doing: • Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments). • Research various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project. What we need to see: • B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer. • At least 5 years of industry or research experience in computer networks. • Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads effect on the network. • Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms. • Possess strong managerial, problem solving and critical thinking skills. • Ability to work and operate in a highly dynamic environment. • Partner with multiple groups in the organization. Ways to stand out from the crowd: • Good knowledge in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies. • Good knowledge in Python, C++. • Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments. 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 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 best-in-class Chip Design – HW Emulation Senior 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 significant part in emulating our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company. Join NVIDIA's world-class emulation team in Israel. Our focused team takes Switches/NICs/SoCs designs and program the emulators to behave like our silicon. Are you ready to take on interesting problems and craft solutions? Come check out our team. What you will be doing: • The main responsibility is emulation and prototyping of complex chip designs. This includes defining the methodology and crafting the infrastructure needed to quickly take large chips into hardware emulation platforms. • The job also requires close collaboration with design, verification, and software engineers to enable embedded software and application software development. • Connecting emulator/FPGA based solutions to real external H/W or virtual targets, taking care of complex testbench and different protocols. • This is a role for a versatile engineer that includes RTL design, verification, FPGA partitioning and implementation, scripting, and lab-based bring up of the design. What we need to see: • BSC or MSC in Electrical Engineering or Computer Science or equivalent experience • 4+ years working in the semiconductor industry. • Hands-on pre-silicon verification or design experience. • Experience in building test-benches and debugging simulation failures. • Experience in scripting with Python/TCL/C/Perl/Unix Shell • Strong interpersonal skills and ability & desire to innovate. Ways to stand out from the crowd: • Experience with HW emulation platforms.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a Senior architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads. You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What you’ll be doing: • Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL. • Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value. • Lead architecture and design of such technologies. • Lead proof-of-concept development to evaluate and drive such technologies. What we need to see: • Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). • 12+ years of industry experience (or equivalent) in systems architecture or related fields. • Experienced in virtualization, networking and storage. • Experienced in either Windows or Linux drivers, with a very good background of the other OS. • Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads. • A teammate with a can-do attitude, high energy and excellent interpersonal skills. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • Shown research track record. • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. • Stellar communication skills. • Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). 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 seeking a dedicated and hardworking Senior Software Architect to join our SW Architecture group. The position involves researching new technologies with a focus on defining groundbreaking security architectures, from ideation to productization. Your role will be essential in researching and developing new methods to secure data centers and AI clouds with NVIDIA's DPU and NIC technologies. NVIDIA Architecture group is comprised of world-class architects who are crafting innovative architectures for our DPUs & NICs technologies. You will collaborate with global teams, including SW architects, R&D, product, solution architects, and external customers. This position presents an outstanding opportunity to make a great impact in a multifaceted, technology-focused company that is defining the future of AI technologies and data centers. What you will be doing: • Evaluating new technologies, innovating, and rapidly developing prototypes that can be further developed into full-fledged products/solutions. • Working across teams to transform ideas into released products. • Helping craft brand-new innovations securing AI. • Collaborating with high-profile customers on sophisticated and groundbreaking technologies and solutions. • Providing fast and creative solutions for complex problems. What we need to see: • BS or MS degree in Computer Science, Computer Engineering, or a closely related field or equivalent experience. • 12+ years of experience as a software developer, with expertise in developing security technologies. 4+ years of experience as a SW Architect/System Architect. • Proficiency in both C++ and Python. Hands-on Linux development experience. • Deep knowledge of virtualization and containerization technologies. • Ability to quickly learn and apply new technologies and ideas. • Self-starter with a proactive attitude, capable of working independently and effectively within a team. • Excellent interpersonal skills, very important for collaboration with cross-functional teams. • Strong desire to work on the cutting edge of technology in a rapidly evolving environment. • Ability to work concurrently with multiple groups locally and abroad in the organization. • Excellent communication, documentation, and presentation skills. Ways to stand out from the crowd: • Experience developing security products. • Proven knowledge and experience in the field of memory forensics. • Proven experience with storage networking. • Background in data center technologies and cloud. Does this sound like a role for which you would be a great fit? If so, we would love to hear from you! With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. Come join NVIDIA, where people come to do their life's work.

NVIDIA networking is a leading supplier of end-to-end Ethernet and NVLink intelligent interconnect solutions and services for servers, storage, and hyper-converged infrastructure. The NVIDIA HW microarchitecture group is looking for an extraordinary Solution Architect to participate in helping our customers to get the maximum performance from our NVIDIA Network products. The successful candidate will show strong background in chip design (Arch, microArch, design, DV), excellent system view, ability to work independently, good communication and motivation to solve sophisticated problems. What you’ll be doing: • Help customers get the best performance from our products. • Debug sophisticated customers issues. • Come up with solutions for current and future products. • Work with teams and customers from around the world. • Partner closely with our field engineers and architecture. What we need to see • B.Sc./M.Sc. in Electrical Engineering or a related field, or equivalent industry experience. • 8+ years of hands-on experience in chip design (architecture, micro-architecture, design, and/or verification) with strong system-level understanding. • Proven experience debugging complex silicon or system issues in production or large-scale customer environments. • Strong communication skills, including the ability to engage directly with senior technical stakeholders at major customers and explain intricate technical topics clearly. • High level of ownership, autonomy, and the ability to drive issues and initiatives across multiple teams and time zones. Ways to stand out from the crowd • Practical experience with networking or AI cluster performance optimization, including technologies such as RDMA, RoCE, InfiniBand, or large-scale Ethernet fabrics. • Background in customer-facing solution, field, or escalation engineering for data center, cloud, or HPC environments. • Expertise in buffer management, congestion control, or large distributed system performance tuning. • Experience influencing product or architecture decisions based on field data and customer requirements. NVIDIA networking intelligent interconnect solutions increase data centre efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence! We are looking for a Senior Signal & Power Integrity Engineer. We work closely with NVIDIA sites in USA and China and have access to extensive knowledge, technologies and tools. Yet we are responsible for our own product line of PHY IC’s . Taking the products from concepting, through design, implementation, verification and release to customers. If you thrive working with highly skilled people that enjoy reaching challenging goals then NVIDIA in might be the perfect workplace for you. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle ! What you'll be doing: • Design high frequencies channels up to 400Gb/s per lane for PCBs, packages, connectors and cables. • Design layout guidelines for our systems. • Simulate passive and active elements in 3D and 2D simulation tools • Measure systems in the lab using Network Analyzer, TDR and scope • Master InfiniBand, Ethernet and PCI-Ex Layer 1 specifications and implementation methods • Work in an intense environment and control multi-discipline expertise What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 5+ years of experience • Familiar with electromagnetics, specifically electromagnetic waves including transmission line theory and via properties. • Expert level proficiency with EM tools (such as Ansys EM, CST, etc.). • Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes. • Experience in Lab measurements including VNA & TDR experience, interface timing budgets, and system modeling. • Master InfiniBand, Ethernet, and PCI-Ex Layer 1 specifications and implementation methods. • Ability to work in an intense environment and control multi-discipline expertise. Ways to stand out from the crowd: • M.Sc./Ph.D. in Electrical Engineering and PDN analyses including model generation and time domain simulation. • Familiar with NRZ/PAM-4 signaling schemes. • Analyses involving co-simulation of circuits and PDN models. • Experience with MATLAB, Python, and C. • Exposure to TSV (Through-Silicon-Via) modeling and analysis. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.