Jobs in Tel Aviv-Yafo

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 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.

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 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.

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.

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.

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.

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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an AIR SaaS Platform Verification Manager to join our NVIDIA Air - the Data Center Digital Twin. As a AIR SaaS Platform Verification Manager at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for Nvidia Air and gain a deep understanding of NVIDIA products and technologies. and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Leading and managing the verification team responsible for AIR SaaS Platform, ensuring high quality delivery of both the backend and the frontend, working closely with diverse cross-functional teams to effectively implement, improve and automate verification strategies for cloud and on-prem deployments. • Work with the DevOps to integrate the verification pipeline into the CI/CD and use your expertise in Python and frontend testing to identify the most effective verification methodologies and tools, suggest reporting process improvement. • Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage. • Foster a culture of innovation, quality, ownership, and accountability. • Support team members with career development plans and achievable growth goals. • Drive improvements for performance, quality, stability around SW acceleration solutions. • Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification. What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field. • 3+ years of experience in a leadership role, managing of software development teams. • 5+ overall years of experience in software development and testing. • Strong understanding of SaaS architectures. • Hands-on experience testing Python/Django (including REST APIs) and proven experience with frontend testing (UI automations using end-to-end testing frameworks such as Selenium, Playwright or Cypress). • Hands-on experience with Infrastructure as a Service (IaaS). • Comfortable working in a fast-paced, highly collaborative multi timezone environment. • Strong verbal and written communication skills. • Intrinsically motivated with a desire for automation programming. Ways to stand out from the crowd: • Background in developing virtualization solutions using technologies like QEMU and Docker. • Knowledge of Linux networking and understanding of networking concepts and protocols. • Proficiency in Infrastructure as Code (IaC) frameworks. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA seeks a highly motivated senior AI cloud Software architect to join our team in Israel. Work on innovative technologies shaping the future of AI and cloud. We are developing RDMA Transport protocols within the Networking software architecture team at NVIDIA. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you'll be doing: • Translate requirements into vision, architecture, and roadmap • Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack • Collaborate with multi-functional teams to innovate and deliver networking solutions • Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture • Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations What we need to see: • Bachelor's or Master’s degree in Computer Science or equivalent experience • 8+ years of proven experience in the field • Background in networking stack and protocols such as RDMA, TCP/IP, and InfiniBand • Strong articulation skills for crafting and improving technical documents and the ability to engage with a globally distributed engineering team • Eagerness to learn new technologies and constantly improve your expertise NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.

NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. What you'll be doing: • Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models • Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices • Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs • Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment • Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer • Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide What we need to see: • B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering • 5+ years of hands-on software engineering experience in performance-critical systems • Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) • Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing • Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted • Effective communicator who works well across teams and time zones • Experience optimizing deep learning workloads on NVIDIA GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces Ways to stand out from the crowd: • Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar • Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs • Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration • Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms • Experience with performance modeling and simulation-to-silicon correlation NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. We highly value diversity in our current and future employees. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA is looking for outstanding STA (Static Timing Analysis) Physical Design Engineers to join our remarkable Networking team in Israel. Our team focuses on building the industry's top high-speed communication devices, providing the highest efficiency and minimal latency. As part of NVIDIA, you'll be working in a meaningful, growing, and highly professional environment where your contributions make a significant impact. If you are ambitious, innovative, and ready to compete on the cutting edge of technology, this is the perfect opportunity for you! What you'll be doing: • Perform advanced Static Timing Analysis (STA) at a chiplet and FC level. • Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation. • Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages. • Responsible for a full timing closer and quality approval from pre-layout STA model through signoff. What we need to see: • B.Sc. in Electrical Engineering or Computer Engineering. • 2-3 years of experience as an STA engineer. • Strong ability to quickly adapt to new technology and delve deeply into new areas. • Excellent communication skills and a proven ability to work effectively in a team environment. • Demonstrated drive to develop and implement new solutions. Ways to Stand Out From the Crowd: • Knowledge in physical build flows and methodologies (PNR, STA, physical verification). • Familiarity with Prime Time tool 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!

We are seeking a highly technical Developer Relations Manager to join our team, with a focus on engaging deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage NVIDIA software stacks when developing solutions to secure AI and Agentic environments and workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: • Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry with cross-functional partners to drive adoption of NVIDIA technologies. • Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines. • Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions. • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies. • Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. What We Need to See: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent practical experience. • 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in AI and Agentic Security • Proven experience leading, partnering, and scaling developer programs at major technology companies, preferably Security Companies. • Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or security frameworks and libraries. • Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives. • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Ways to Stand Out from the Crowd: • Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.). • Familiarity with advanced computing, AI, and/or GPU acceleration platforms (insert relevant stack/libraries for the vertical, e.g., CUDA, Triton, NeMo, DOCA). • Successful history of building and scaling developer communities and delivering impactful technical enablement programs. With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

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 Researcher specializing in Ethernet Networks and Switch ASICs 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: • Research switch-level capabilities to cluster-scale outcomes, including interactions with orchestration, job scheduling, collective communication patterns, and observability. • Explore hardware/software tradeoffs for high-radix Ethernet switches aimed at next-generation AI fabrics. • Investigate ML methods for traffic understanding, control-plane assistance, configuration optimization, and other high-leverage areas. • Build and implement Proof-of-Concepts (PoCs) using network/system simulations, performance models, and data-driven analyses to compare design alternatives to influence architecture decisions. • Continuously evaluate emerging protocols, software stacks, open-source initiatives, partner ecosystems, and academic work for alignment with the Ethernet switch roadmap. • Collaboration with architects across various fields, advanced development teams, and other researchers. What we need to see: • M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering. • 12+ years of experience in system architecture, networking technologies, and embedded software, including 3+ years functioning as a Researcher in that fields. • Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features and protocols in data center. • Excellent understanding of large-scale network behavior, network simulation, and the effect of distributed computing workloads on the network. • Demonstrated ability to conduct deep research, prototype ideas, show their value on the path to new technologies, and produce innovative ideas and practical applications. • 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 of the crowd: • Practical research and innovations that relate to networking. • Knowledge in various Switch ASIC hardware and software abstraction. • 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 has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for a highly motivated Architect to join the NVIDIA DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit Nvidia DSX Air. What you'll be doing: • The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems. • Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture. • Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies. • Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible. • Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability. • Designing and optimizing deep networking solutions for container/k8s environments • Continuous evaluation of existing system and driving improvements across our platform and AI integration layers. What we need to see: • 8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models. • Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures. • Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services. • Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services. • Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads. • Deep understanding of advanced networking solutions and container/k8s networking • Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs. • Bachelors degree NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

NVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products. NVIDIA’s invention of the GPU 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. Today, we are increasingly known as “the AI computing company”. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: • Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. • Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. • Design next generation production and provisioning systems. • Collaborate with partners on the implementation of open-source software. • Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. • Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. • Work with customers, partners to identify and address security issues and threats. What we need to see: • BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. • 7+ years of relevant experience. • Experience with production and provisioning design of SoC systems. • Have directly worked on several of the following: • Key management systems and HSM operation. • First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe • Computing platform boot architecture in embedded devices and servers • RISC-V architecture, Root-of-trust, and security processors. • Familiarity with embedded systems and programming low-level firmware. • Familiar with Security-by-design hardware and principles of privileges. • Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. • The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential. 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.

Join NVIDIA’s powerful Networking Silicon engineering team as a Synthesis Senior CAD Engineer! In this pivotal role, you'll be at the forefront of developing the industry’s advanced high-speed communication devices, delivering outstanding efficiency and minimal latency. This is your chance to architect, build, and improve advanced RTL to PNR tools, flows and methodologies using the world’s latest process technologies. Be part of a group that’s driving technology forward and pushing the frontiers of development. What you will be doing: • Methodology Deployment: Design and refine sophisticated Synthesis flows to meet ambitious Power, Performance, and Area (PPA) objectives. • Partner closely with upstream Front-End Design and downstream Place & Route (P&R) flows development teams. Define boundaries, resolve design constraints, and bridge systemic execution gaps. • Develop robust and scalable scripts using Tcl/Python to improve Flow Turnaround Time (TAT). Integrate next-generation capabilities such as AI/ML automation into production runs. • Serve as a subject matter expert and trusted representative for adjacent project teams. Provide proactive support, deep-dive debugging of complex tool failures, and formal synthesis training to build teams. What we need to see: • Academic Background: B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience. • Core Synthesis Experience: 3+ years of hands-on experience in VLSI synthesis flows, with deep, proven expertise in Synopsys Fusion Compiler or Design Compiler (DC-Top/DC-Ultra). • Technical Skills: Strong proficiency in Tcl or Python scripting within a production-level CAD/EDA environment. • Attitude & Ownership: A highly enthusiastic, dedicated approach with a demonstrated "sense of ownership" to proactively step into process vacuums and drive complex tasks to completion. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Genus/ Innovus/Tempus). • Experience in methodology definition / flow ownership of synthesis / Place and Route/ STA steps is an advantage. • Great teammate with strong ownership, self-learning skills, and the 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!

The Chip Design Methodologies team is responsible for establishing ASIC design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. The team plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. We are now expanding our focus to AI-powered applications for chip design — leveraging modern AI tools and methods to improve productivity, quality, and turnaround across the design flow. This role offers an exciting opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization. What You'll Be Doing: • Develop innovative AI-powered methodologies and applications for chip design — spanning specification, RTL, verification, and physical design • Collaborate with chip design stakeholders across architecture, RTL, DV, FV, and physical design teams to understand existing challenges and form the best solutions • Utilize, develop, and assimilate AI-based tools and flows into the chip design process • Evaluate cutting-edge AI tools and EDA vendor technologies, and apply them to improve the development process • Define and enforce design quality standards — lint rules, synthesis guidelines, and coding best practices • Develop training sessions and guide designers with best design practices, including AI-assisted workflows • Build automation infrastructure and scripted flows to streamline chip design development What We Need To See: • BSc degree in Electrical Engineering • 10+ years hands-on pre silicon design experience • Strong interpersonal skills, a passion for innovation, and the ability to mentor • A natural drive to systematize, automate, and improve how things are done • Strong AI orientation — genuine curiosity about AI-driven development, with a working understanding of the modern AI ecosystem: AI coding assistants, agentic workflows, and prompt-driven engineering practices Ways To Stand Out From The Crowd: • Wide system level understanding of the chip design development and flows • Strong interpersonal skills • Passion for innovation, quality, efficiency and flows automation • Chip design experience combined with hands-on AI tool usage - you've used AI to solve real engineering problems • Experience with CI/CD for hardware development (Git, GitLab, or equivalent) 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 looking for Senior Signal & Power Integrity Engineer. 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 work closely with NVIDIA sites in USA and China and have access to extensive knowledge, technologies and tools. 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 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 low-speed I/O channels such as clock circuits, DDR/memories and other sensitive signals. • Design layout guidelines for our packages and PCBs (for switches, adapters and electro-optical modules). • Design package/board/system SI/PI design activities, including PCB stack-up/material selection, design guide implementation, layout review and post-layout analysis. • Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB design teams to design and ensure system SI/PI performance meets expectation. • Simulate passive and active elements in 3D and 2D simulation tools. • Measure systems in the lab using Network Analyzer, TDR and scope. • 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 • Expert with low-speed I/O simulations and design concepts including clock circuits, DDR/memories , transmitter & receiver design and equalization schemes. • Expert level proficiency with time domain analysis and tools. • Excellent understanding in electromagnetic waves including transmission line theory and via properties. • High level proficiency with electromagnetic tools (such as Ansys EM, CST, etc.) • Experience in Lab measurements including VNA & TDR. • 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. • Expert with time domain co-simulation of I/O circuits and PDN models. • Familiar with NRZ/PAM-4 signaling schemes. • Experience with MATLAB, Python, and C. 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.

We are looking for an excellent, highly motivated SW Verification Manager to join the software verification team in the Data Processing Unit (DPU) SW Group. In this role, you will lead a team of highly skilled verification engineers, combining people management, technical leadership, and execution. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and taking our product to next level. What you’ll be doing: • Lead, mentor, and grow a team of software verification engineers, fostering a culture of technical excellence, ownership, and professional development. • Provide technical leadership and hands-on mentorship, driving the design and implementation of comprehensive verification plans and automated environments using Python. • Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability for high-end hardware and software. • Ensure high product quality by conducting code reviews, defining engineering procedures, and identifying, analyzing, and reporting software defects. • Drive improvements for performance, quality, and stability around SW acceleration solutions, taking an active part in integration and verification with R&D. • Partner closely with cross-functional teams (HW, FW, SW architectures, and Product) across multiple engineering organizations worldwide. What we need to see: • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • 3+ years of experience in a managerial/team lead position, with a proven track record of leading engineering teams. • 8+ years of overall experience in software development or verification, with a strong, hands-on technical background. • Expertise in Python, specifically in testing complex embedded systems, system-level software, or firmware-integrated environments. • Strong verification attitude with experience in developing modern Software testing System/QA automation frameworks. • Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP). • Deep understanding of Linux distributions (CentOS/RedHat, Ubuntu) and experience in software debugging and problem-solving. • Knowledge of how to tune environments for the best performance and deploy infrastructure based on innovative technologies and high-end hardware. Ways to stand out from the crowd: • Experience with PyTest or other modern Python testing tools. • Proficiency with data search and analytics engines (Elasticsearch, Kibana, Grafana). • Hands-on experience with virtualization in Linux (QEMU/KVM). • Work background with CI/CD methodologies, infrastructure, and toolsets (Jenkins, Git). • Knowledge of Docker, Kubernetes, and understanding of C/C++ toolchain in Linux. 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 unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.