Jobs in Tel Aviv-Yafo

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!

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 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 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 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.

NVIDIA is at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of what’s possible in VLSI CAD? Come be part of our pioneering team! What you'll be doing: • You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation. • Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods. • Research, prototype, and deploy AI-based algorithms. • Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process. • Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date. • Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices. What we need to see: • B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. • 5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows. • Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn). • Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence). • Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges. • Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make). • Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity. • Excellent communication skills and the ability to work cross-functionally in a fast-paced environment. • Self-motivation, attention to detail, and a track record of delivering robust solutions to production. Ways to stand out from the crowd: • Demonstrated experience deploying AI/ML models in production VLSI CAD environments. • Contributions to open-source AI/EDA projects or publications in relevant conferences/journals. • Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them. • Experience with cloud-based or distributed compute environments for large-scale AI training and inference. • Strong ownership, curiosity, and a passion for continuous learning and innovation. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are 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.