Jobs in Tel Aviv-Yafo

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing • Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. • Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. • Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. • Participate in architecture discussions, API design, technical proposals, and code reviews. • Build reliable, scalable infrastructure software for next-generation AI workloads. • Write clear technical documentation and design proposals. What we need to see • B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. • 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. • Deep understanding of Kubernetes and the cloud-native ecosystem. • Experience extending, building, or contributing to Kubernetes-based solutions. • Strong communication skills and the ability to collaborate across engineering teams and open-source communities. • Curiosity, adaptability, and an interest in learning AI infrastructure. Ways to stand out from the crowd • Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects. • Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles. • Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes. • Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems. • Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale. If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA's R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software—from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging. We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk! What you'll be doing: We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we: • Review architectural designs and requirements for new features introduced to the product • Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases • Develop Python automation suites built on clean OOP principles • Chase down defects and validate fixes until we fully resolve the root cause • Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives What We Need to See: • Combined network engineering depth with thorough software habits • 5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS • Production-quality Python engineering—specifically, strong OOP design and hands-on experience with Pytest • Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively • Clear verbal and written communication, with professional proficiency in written and spoken English • B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background Ways to stand out from the crowd: • Experience with Docker and traffic generation tools (Ixia, TRex, Scapy) • Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI) • Working knowledge of virtualization platforms (KVM, VMware)

NVIDIA's Switch ASIC group is seeking a top-tier ASIC technical manager to lead the development of our next-generation ASICs. Join us in shaping the future of technology! As an ASIC Project Lead, you will manage the pre-silicon development of NVIDIA's most advanced and complex switch ASICs — from concept to tape-out — and drive the chip through power-on and qualification to production release. You will collaborate with a cross-disciplinary team, interacting with unit-level ASIC, Physical Design, CAD, Package Design, Firmware & Software, DFT, System Design, Analog Design, and other specialized teams. What you'll be doing: • Development Management: Lead the ASIC development from concept and architecture stages through micro-architecture, design, verification, and physical design until tape-out. • Post-Silicon Execution: Drive chip power-on, bring-up, and qualification to production release. • Execution Plans: Define and implement execution plans in collaboration with cross-discipline leaders in unit-level, full-chip, physical design, and firmware/software emulation. • Roadmap Definition: Contribute to the definition of NVIDIA's switch ASIC roadmap. What we need to see: • BS or MS in Computer or Electrical Engineering, or equivalent experience. • 10+ overall years of experience in chip design. • 5+ years of chip design/verification management experience as a second- or third-level manager, leading organizations of 50+ engineers. • Proficiency in RTL design (Verilog), verification (UVM, SystemVerilog), System-On-Chip design/integration flow, and design automation. • Strong system view with the ability to collaborate across multiple interfaces. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities. • Experience in synthesis and physical design is a plus.

KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale. KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Senior Software Engineer for KAI, you will help build the future of AI scheduling in the Kubernetes ecosystem, working on challenging problems spanning workload scheduling, Kubernetes internals, and large-scale AI infrastructure. What you’ll be doing: • Develop clean, maintainable, and well-tested software in Go. • Design and implement scalability improvements for KAI, helping it operates efficiently in massive-scale deployments (thousands of nodes) while addressing Kubernetes scaling constraints and bottlenecks. • Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability. • Conduct code and design reviews to uphold high-quality standards and mentor team members. • Work closely with contributors, users, and customers, helping translate feedback from production deployments into product and engineering improvements. • Collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and contribute to community and ecosystem discussions. What we need to see: • B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience • 8+ years of experience in backend software development, including system design and architecture • 4+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture. • Strong algorithmic skills with experience tackling complex optimization and distributed systems challenges. • Strong technical skills and a proven ability to collaborate with and mentor other engineers. 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 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! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: • Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. • Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution. • Bring independent analysis, communication, and problem-solving to customer experience. • Collaborate with engineering to document, recreate and solve issues. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). • 5+ years system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software. • Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies. • Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: • Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). • Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). • Experience with SRv6 technology, HPC, low-latency systems and performance tuning. • Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. • Experience with AI coding tools, AI agents, etc.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing: • Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology. • Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. • Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community. • Develop demo solutions and showcase to the AI ecosystem. What We Need To See: • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience • 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable. • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton • Proven Exposure to GPU technology and CUDA programming • Demonstrable experience in strategy, research, communications. • Capable of working in a constantly evolving environment without losing focus. • Committed with strong analytical and problem solving skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Direct experience participating in communities (expertly or as highly engaged developer). Ways To Stand Out From The Crowd: • Technical knowledge of developer digital platforms and their trends. • Experienced working with containers, Kubernetes and MLoPS tools • Exposure to C, C++ and Python. • Research background. • Good presentation skills #deeplearning

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA’s Networking AI Platforms Security group is redefining silicon and networking security for next-generation, high-performance infrastructure. We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment. What you'll be doing: • Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards. • Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks. • Partner across NVIDIA with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security. • Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions. • Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs. • Represent NVIDIA in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems. What we need to see: • B.Sc., M.Sc., or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience. • 7+ years of experience in silicon security, SoC architecture, embedded systems security, or a related field. • Proven hands-on experience architecting and implementing hardware roots of trust, secure boot, attestation, secure lifecycle and debug mechanisms, and key provisioning. • Strong foundation in applied cryptography at scale, including hardware trade-offs, PKI, key and identity management, post-quantum cryptography, and encryption technologies. • Hands-on experience architecting secure hardware–firmware interfaces for SoCs and embedded devices. • Deep understanding of high-performance networking protocols and their end-to-end security implications. • Strong communication and influencing skills, with a proven ability to drive initiatives in a fast-paced organization. Ways to stand out from the crowd: • Experience influencing industry security standards or collaborating with cloud customers and external partners on hardware and end-to-end networking security architectures. • A proven track record of taking innovative security technologies from research and architecture through implementation and deployment in production silicon. • Deep expertise in securing high-performance networking protocols and fabrics, including Ethernet, InfiniBand, and NVLink, with a strong understanding of the switch’s role in end-to-end confidential computing and trusted execution environment architectures. 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. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is looking for best-in-class Physical Design Engineers 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: • Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance. • Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems. • Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification. • Taking part inflows development. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience. • 2+ years of relevant experience. • Proven experience in RTL2GDS flows and methodologies. • Knowledge in physical design flows and methodologies (PNR, STA, physical verification). • Deep understanding of all aspects of Physical construction and Integration. • Knowledge in Physical Design Verification methodology LVS/DRC. • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.). • Great teammate. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is looking for best-in-class Physical Design Engineers 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: • Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level. • AI use for timing optimization and data analysis in STA and PnR. • Running and build STA tools for anlyaze and debug timing. • Use traditional STA tools like 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./ M.SC. in Electrical Engineering. • At least 5+ years of hands-on STA experience. • Experience in Prime Time and signoff methodologies. • A great teammate who thrives in a collaborative environment. • AI tools orientation or alternatively a desire to learn. Ways to stand out from the crowd: • Agentic Frameworks. • AI prompting experience. • Experience in Linux environments. • TCL, Python, shell scripting abilities. • Experience with data collection and analysis. 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!

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: • Developing a highly optimized inference framework • Running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: • B.Sc. or equivalent experience in Computer Science or Software Engineering • 5 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs • Background in parallel programming / high-performance computing / RDMA technology At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. 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 smartest engineers 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 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 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 leading the way in groundbreaking 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. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is now seeking a Strategic Sourcing Senior Manager to join our Global Corporate Indirect Procurement team, headquartered in Santa Clara, CA to support growth in NVIDIA’s Real Estate and Data Center portfolio. This position will lead procurement efforts and supplier relationships for Real Estate and Data Center Construction critical to the success of the company, focusing on delivering optimal solutions, driving cost savings and improving overall commercial terms. Responsibilities for this position include tenant improvement and ground-up construction for US and international construction sourcing projects. What you’ll be doing: • Work with the key internal partners (Project Management, Legal, Finance and Engineering) to assess opportunities for and accomplish cost savings/improved contract terms. • Support the objectives of the Real Estate and DC MEP Engineering & Construction teams to achieve the overall mission of Nvidia. • For each spend category lead efforts to develop/be responsible for a category plan, perform market research to identify viable suppliers and establish a scalable supply base to support NVIDIA’s anticipated growth. • Lead sourcing activities, including RFXs and negotiate construction-related contracts (e.g. general contractors, MEP design-build, engineering, architects, development managers and cost consultants). • Implement sourcing process project management from start to end, including regular status updates to internal partners. • Deliver results with a strong commitment to quality, ethics, and customer-focused delivery model. • Identify areas for process/toolset improvement and develop/implement strategic plans to increase efficiency and productivity and supervise performance to ensure objectives are being met. What we need to see: • Bachelor’s degree required or equivalent experience. • 8+ years of strategic sourcing experience, with a proven track record of leading large-scale capital expenditure (CapEx) construction programs in a fast-paced environment. • Proven ability to work effectively with various collaborators to meet demanding project schedules and lead negotiation teams for complex construction and development contracts. • Expert in procurement for Real Estate Construction contracts, focusing on Design-Build and Cost + Fixed Fee % with GMP. • Skilled negotiator able to achieve favorable contractual terms and market competitive commercial rates. • Experience in qualifying and developing a supply base of qualified construction contractors in partnership with internal business partners. • Business acumen to make informed decisions in an environment of incomplete data and quickly changing plans and priorities. • Experience with project management and procurement tools (e.g. e-RFx, Contract Lifecycle Management) in the completion of sourcing projects. • Excellent communication skills giving presentations to senior management. • Experience in managing large-scale, complex construction procurement projects, preferably within a global organization or supporting multi-national collaborators. Ways to stand out from the crowd: • Master’s or other advanced degree • Expert contract negotiation skills • Experience with Colo and CSP agreements is highly desirable. • Detailed technical and supply base knowledge of latest rack cooling systems and MEP equipment for next generation data centers. • Experience in providing construction procurement support for campus development. 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 people in the world working for us, and due to outstanding growth, our Finance teams are rapidly growing. If you're creative and autonomous with a real passion for technology, we want to hear from you.

NVIDIA is building the world's most advanced AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence. We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape NVIDIA products across the full stack — from applications and software libraries to hardware architecture and physical design. What you'll be doing: • Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations. • Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements. • Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior. • Translate research insights and workload behavior into actionable software, xhardware, and networking architecture requirements. • Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps. • Drive architectural innovation by applying deep workload analysis to production machine learning frameworks. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • 5+ years of relevant industry or research experience. This is not an entry-level position; coursework and personal projects do not substitute for production or research experience at scale. • Hands-on experience running and analyzing AI workloads on multi-node systems — distributed training or large-scale inference — including measuring where time and resources are actually spent. • Demonstrated performance analysis work: building analytical or simulation models of real systems, validating them against measurement, and identifying bottlenecks that led to design or deployment changes. • Strong systems-level thinking across the full AI stack, from model and framework behavior down through compute, memory, storage, and network. • Track record of translating research findings and workload analysis into concrete software and hardware specifications that engineering teams acted on. • Strong programming skills in Python and C/C++, applied to performance modeling, data analysis, and prototyping. Ways to Stand Out from the crowd: • Deep understanding of data centers, network topologies, and communication protocols. • Familiarity with GPU clusters, collective communication, storage systems, and AI networking bottlenecks. • Experience with distributed training, distributed inference, or large-scale AI serving systems, including the performance metrics and deployment strategies that govern them. • Experience in agentic programming and AI tooling. • Track record of turning academic research into concrete software, hardware, or architecture requirements, and of leading complex multidisciplinary projects with measurable production impact. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

NVIDIA is seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation NVIDIA data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead NVIDIA DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink. What you'll be doing: • Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation NVIDIA AI GPU clusters, focusing on large-scale distributed training and inference workloads. • Deeply evaluate and optimize NVIDIA Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms. • Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs. • Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries. • Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent technical experience. • 8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance. • 3+ years of experience as an engineering team manager leading technical performance or R&D teams. • Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference). • Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization. • Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups. Ways to stand out from the crowd: • Proven track record of optimizing NCCL, RDMA/RoCEv2, and custom collective algorithms specifically tailored for multi-thousand GPU deployments running LLMs or Mixture-of-Experts (MoE) architectures. • Deep experience tuning advanced network traffic mechanisms such as adaptive routing, PFC/ECN congestion control, and packet-spraying technologies. • Experience building autonomous performance-driven tools, AI-assisted root cause analysis agents, or automated regression frameworks for continuous cluster-level performance evaluation. • Hands-on experience developing custom Grafana plugins, complex dashboard panels, or integrated alert management workflows using PromQL/LogQL for hyperscale or HPC environments. 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. #LI-Hybrid

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.

NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading CPU's and SoC's. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can take on, and that matter to the world. We have crafted a team of excellent people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. NVIDIA is building a new group in Israel, this group will deliver security engines and risc-V processor IPs to all of NVIDIA product lines working with all NVIDIA groups around the world. We are looking for an Architect with a security experience to help lead the Arch work on security engines and secure boot flows. You will work closely with NVIDIA security architects, design engineers, verification engineers, and SW engineers to accomplish your tasks. What you will be doing: • Participate in Architecture development and document specifications. • Work with RTL and the verification team to ensure that the design meets the spec. • Help deliver a design that meets the high security standards of NVIDIA and our customers. What we need to see: • A BSc and/or MSc from a major university in electrical engineering or computer engineering • At least 10 years of relevant experience in ASIC design, uArch and Arch in the areas of crypto engines and root of trust. • A good system level understanding and experience working with multiple groups including ASIC design, FW and SW. • Good interpersonal skills. And team player With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We employ some of the most forward-thinking and hardworking people in the world. Are you passionate about becoming a part of an outstanding team supporting the latest technology? If so, we want to hear from you. NVIDIA is an equal-opportunity employer. We 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 senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure. In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment. What You’ll Be Doing: • Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration. • Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization. • Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions. • Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more. • Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans. • Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system. • Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production. • Author architecture documents, design specifications, technical requirements, and technical publications. • Provide technical leadership and guidance to engineering teams throughout implementation and integration. What We Need to See: • Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience. • 5+ years of experience in software architecture, systems engineering, or the development of large-scale, performance-critical systems. • Strong networking background, including a deep understanding of high-performance networks, distributed systems, and networked applications. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows • Proven experience defining and delivering end-to-end architectures that span software, hardware, networking, and infrastructure. • Experience leading complex technical initiatives in a large-scale, multi-functional environment. • Ability to translate broad product goals into clear architectural requirements, interfaces, tradeoffs, and execution plans. • Excellent communication and technical leadership skills, with the ability to influence decisions across teams with multifaceted strengths and organizational boundaries. Ways to Stand Out from the Crowd: • Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed computing environments. • Familiarity with NVIDIA networking technologies and the Spectrum-X platform. • Background in AI training or inference infrastructure, GPU-accelerated systems, or large-scale compute clusters. • Experience with AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Proven success identifying and resolving efficiency constraints across complex, multi-component systems. NVIDIA is widely considered one of the most desirable places to work in technology. We are passionate about what we do and committed to a culture of technical perfection, innovation, and teamwork. If you want to define comprehensive system builds that combine advanced networking, accelerated computing, and large-scale software systems, this role is for 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 excellent technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA is seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. You’ll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across NVIDIA and leave a mark on the way generative AI reaches real-world applications. What You’ll Be Doing: • Design and evolve scalable architectures for multi-node LLM inference across GPU clusters. • Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production. • Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions. • Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching. • Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration. • Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems. • Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate. What We Need to See: • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience. • 8+ years of experience building large-scale distributed systems or performance-critical software. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking. • Proven software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms. • Strong system-level thinking across memory, networking, scheduling, and compute orchestration. • Excellent communication skills and ability to collaborate across diverse technical domains. Ways to Stand Out from the Crowd: • Experience working on LLM - training or inference pipelines, transformer model optimization, or model-parallel deployments. • Proven success in profiling and optimizing performance bottlenecks across the LLM training or inference stack. • AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Shown optimization process for complex systems, deployed at scale to make impact. • Proven experience successfully driving complex organizational processes from planning through implementation. NVIDIA is widely considered one of the most desirable places to work in tech – we are passionate about what we do and are committed to fostering a culture of perfection, innovation, and collaboration. If you’re excited to help define how the world runs AI at scale, this role is for you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. While planning your future, explore the benefits available to you and your family at www.nvidiabenefits.com/

We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. NVIDIA’s next-generation Ethernet and NVL switches are at the core of the world’s most advanced compute clusters — from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at NVIDIA, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology. What You'll Be Doing: • Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle — from early concept to deployment. • Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options. • Lead research and exploration of future architectures, including innovation that contributes to patent development. • Collaborate closely with cross-functional teams — including other architecture groups, logic design, firmware, system software, and research — to ensure successful execution and integration. • Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization. ​ ​What We Need to See: • BSc or MSc in Electrical Engineering, Computer Engineering, or related field • 7+ years of proven experience in chip architecture, digital design, or design verification • Solid understanding of digital ASIC design and strong familiarity with the full chip development cycle • System-level thinking — ability to reason across hardware/software boundaries and understand how switch architecture impacts end-to-end performance • Comfortable navigating between RTL, models, and system software to drive architectural clarity ​​Ways to Stand Out from the Crowd: • Deep knowledge of networking and compute systems • Hands-on experience in system architecture across domains such as networking, CPUs, GPUs, or memory subsystems • Background in in-network computing or data-path acceleration ​ NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. It’s not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What you’ll be doing: • Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads. • Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. • Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value. • Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies. • Lead proof-of-concept development to evaluate and drive such technologies. What we need to see: • Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). • 5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads. • Experienced in algorithm design, system programming, computer architecture and operating systems. • Experienced in virtualization, networking and storage. • Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features. • Strong programming and software development skills. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • Shown research track record. • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. • Stellar communication skills. • Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). • Deep understanding of Inference and Training workloads and optimizations, like Prefill/Decode, data parallelism, Tensor parallelism, FDSP and others. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider NVIDIA. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions. What you'll be doing: • Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech. • Collaborate with teams across teams (physical design, logic design, system software, firmware, applications) • Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options. • Explore innovative ideas to improve and optimize our chip systems performance. • Serve as a focal point within the organization and distribute the knowledge that you acquire. What we need to see: • BSc/MSc in Electrical Engineering, Computer Science from a known university. • Experience in developing simulation models. • 4+ years of experience in a relevant role as chip architecture or system integration • Knowledge and understanding of computing and networking systems. • Strong debug skills. • A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment. • Utmost passion for attention to details in design and a high focus on design quality. Ways to stand out from the crowd: • Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking. • NVIDIA is widely considered to be one of the tech world’s most desirable employers. • Master's degree in Electrical Engineering, Computer Science or related technical field. • 5+ years of relevant practical experience. • Experience with network simulation tools (omnet, ns3, sst, gem5) NVIDIA is widely considered to be one of the tech world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.