Jobs in Tel Aviv-Yafo

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to help safeguard the most important assets of the most valuable company in the world! Our Cryptographic Services team runs the Simple Signing Service (3S) — the HSM-backed platform that signs every NVIDIA product before shipping including our Networking business unit's every release: SpectrumX, Quantum, NVLink, ConnectX, BlueField and DOCA. Today that platform is operated entirely from the US. This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it! What you'll be doing: • Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team. • Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return. • Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast. • Drive AI-enabled automated self-service — the 3S Copilot, our MCP integrations, runbooks and docs — so the region can unblock itself without waiting for any time zone. • Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues. • Partner closely with the US and India teams, and with Networking DevOps and release management in Israel. • Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you. What we need to see: • BS or MS in Computer Science Engineering or a related field of study (or equivalent experience). • 10+ years building and operating production software, with real ownership of a service — you have carried an on-call "pager" and resolved incidents under release pressure. • Strong hands-on engineering in Python, Java, Go or similar, with AWS, Kubernetes, CI/CD and infrastructure as code. • Solid understanding of applied cryptography — PKI, digital signatures, key management — or the demonstrated ability to go deep in an unfamiliar technical domain quickly. • Clear communication in English, and the judgement to keep customers advised during an incident rather than after it. Ways to stand out from the crowd: • Hands-on experience with code signing, HSMs, secure boot or software supply chain security. • Familiarity with NVIDIA Networking release and build environments — Gerrit, GitLab, Artifactory, firmware and DOCA pipelines. • You use AI and agentic tooling to remove repetitive work, and are pragmatic about where it helps and where it does not. 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 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 spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools. In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.   What you'll be doing: • Directly impact the architecture of NVIDIA’s next generation AI and HPC offerings through modeling, simulation and analysis. • Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the system’s performance. Develop advanced simulation solutions while contributing modular and scalable code. • Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization. • Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion. • Improve the quality of the simulation as a software product, ensuring robustness and reliability.   What we need to see: • BSc or above in Computer Science, Electrical Engineering, or a related field • 5+ years of recent hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase. • End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput). • Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision. Ways to stand out from the crowd: • Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols. • Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators). •  Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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

NVIDIA 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 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). • 8+ years of system software development and troubleshooting experience, ideally with some customer facing. • Experience developing with Python, C/C++ in Linux application space and/or embedded software. • Expertise in Linux networking stack, tools, utilities and services. • 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.

The NVIDIA Networking Advanced Development Software team develops innovative software solutions that help shape future NVIDIA products, create new market opportunities, and strengthen strategic customer relationships. Through rapid prototyping and proof-of-concepts (POCs), we evaluate emerging technologies and transform innovative ideas into validated solutions. Our projects are driven by where technology is heading—not by a single domain. While our current work focuses on AI infrastructure, distributed computing, and modern data centers, our mission is to tackle the technologies that will matter next. We investigate, prototype, and deliver solutions across a broad spectrum of areas, including HPC, cloud infrastructure, storage, networking, virtualization, and more. Our engineers work across the entire software stack—from user-space applications and middleware to Linux kernel networking, device drivers, firmware, and GPU programming. Together with teams across NVIDIA, strategic customers, industry partners, and the open-source community, we turn ambitious ideas into practical technologies with real-world impact. What you’ll be doing: • Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware • Work on impactful projects involving state-of-the-art high-performance computing hardware and software • Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology • Collaborate with NVIDIA partners and customers What we need to see: • B.Sc. in Computer Science, Electrical Engineering or Computer Engineering • 3+ overall years of industry experience • Understanding of multi-core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time • Excellent programming skills • Ability to learn complex concepts in a fast pace environment. • A teammate with a can-do attitude, high energy and excellent interpersonal skills Ways to stand out from a crowd: • Familirity with Deep Learning frameworks and AI communication libraries • Familiarity with RDMA • Experience and passion for system architecture, CPU/GPU/memory/storage/networking • Experience with open-source projects (coursework, personal, or contributions) • Working in a fast-paced and dynamic environment

At NVIDIA, we are building the networking technologies behind the world’s most demanding AI, cloud, and high-performance computing platforms. RDMA, congestion management, and multipath transport are central to that work, shaping protocol behavior, interoperability, reliability, and end-to-end performance at scale. We are looking for a senior architect or technical leader with deep expertise in networking protocols and the broader interconnect ecosystem to help define the next generation of capabilities across our platforms. This role is ideal for someone who combines strong protocol knowledge with architectural judgment, product sense, and credibility in industry forums. You may come from protocol architecture, NIC or switch design, systems research, or standards leadership, but in all cases you know how to turn technical insight into roadmap impact. In this role, you will work across architecture, hardware, firmware, software, product, and ecosystem partners to shape protocol direction, influence standards, and drive implementable innovation. If you want to help define the future of RDMA and AI networking, we’d love to hear from you! What you'll be doing: • Define and guide protocol and architecture direction for RDMA and sophisticated transport technologies across next-generation networking platforms, with particular focus on performance, scalability, interoperability, and adaptability. • Lead technical work spanning RDMA semantics, congestion management, multipath transport, reliability, ordering, virtualization, and software-visible interfaces. • Develop NVIDIA's viewpoint and contributions across major ecosystem and standards organizations, including UEC, IBTA, IEEE, and OCP. • Work closely with architects, hardware, firmware, software, validation, and product teams to transform protocol concepts into practical features and prioritized roadmap investments. • Evaluate standards proposals, protocol extensions, and ecosystem requirements; identify tradeoffs early and drive streamlined technical recommendations. • Engage with contributors from inside and outside the organization to advance interoperability, performance portability, and adoption within the RDMA ecosystem. • Use analysis, modeling, experimentation, traces, and system-level reasoning to validate architectural decisions and expose bottlenecks or protocol gaps. • Represent the technical direction of the work clearly to senior leaders, engineering teams, and external collaborators. What we need to see: • B.Sc, M.Sc, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. • More than 10 years of proven experience in networking protocols, interconnect architecture, systems research, or related areas. • Strong technical knowledge in one or more fields such as RDMA technologies (InfiniBand, RoCE, verbs and transport semantics), NIC or switch architecture, congestion control algorithms, or multipath transport. • Strong understanding of modern data center networking, including Ethernet, congestion management, routing and switching interactions, and large-scale system behavior. • Proven background in protocol definition, contributing to standards, interoperability efforts, or technical leadership within an ecosystem. • Ability to reason across hardware, firmware, software, and system architecture boundaries and make well-grounded technical tradeoffs. • Strong record of influencing technical direction across multi-functional teams and aligning diverse collaborators around architecture decisions. • Strong interpersonal skills, including the ability to convey complex technical perspectives clearly in both internal and external environments. Ways to stand out from the crowd: • Experience engaging in or leading initiatives in UEC, IBTA, IEEE, OCP, or comparable industry standards and ecosystem organizations. • Expertise in SmartNICs, DPUs, NIC architecture, switch architecture, or hardware/software co-design for sophisticated networking systems. • Deep background in congestion control — algorithm development, analysis, simulation, or deployment at scale in data center or HPC environments. • Experience with multipath transport protocols, load balancing, or adaptive routing across large-scale fabrics. • Familiarity with GPU networking, GPUDirect RDMA, collective communication patterns, or AI and HPC workload behavior over RDMA fabrics. NVIDIA is committed to fostering a diverse work environment and is 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, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology—and outstanding 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, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a security architect who is interested in a chance to define, and implement next-generation security features for data centers’ networks. The position will take on a lead role, working with teams with varied strengths across NVIDIA and with external partners to research security requirements for networking products. What you'll be doing: • Lead, research, design, develop, and implement solutions for attestation and confidential compute in network devices. • Apply innovative security primitives using attestation capabilities. • Collaborate across external and internal teams and with customers. • Define next generation architecture following standards bodies and developing proof-of-concepts for attestation and confidential compute. What we need to see: • BSc, MSc, or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience. • At least 5 years of experience. • Background in attestation protocols such as DICE, SPDM, TPM, CoRIM • Background in confidential compute and trusted execution environments solutions such as ARM CCA and PCIe TDISP • Programming and debugging fundamentals across languages such as Python, and C/C++. • Strong communication skills and a genuine passion for working together as a team are vital. Ways to stand out from the crowd: • Proven security research experience and publications in top security conferences. • Experience with high-scale deployment challenges and threat modeling • Architectural background and hardware-software codesign. NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're an autonomous researcher passionate about connecting AI applications with the infrastructure that powers them, we want to hear from you.

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 developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers 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 timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality), Backend CAD (Computer-Aided Design), • Knowledge in Tcl/Perl/Python • Versatile • Great teammate 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

Our Host Management Team focuses on the holistic system- and board-level management of next-generation data center infrastructure. We architect the production, provisioning, management, power, and reset flows that keep complex, multi-silicon platforms operating securely and reliably. We bridge the gap between high-level orchestration (like Redfish and out-of-band management) and low-level hardware execution. We are seeking a Senior System Management Architect to lead the management architecture for our advanced SmartNIC cards. You will be the resident expert for SmartNIC system management, ensuring that NIC ASICs, Baseboard Management Controllers (BMCs), MCUs, CPUs, and CPLDs operate in perfect unison. You will own the lifecycle management specifications for SmartNIC platforms—from factory provisioning and day-one deployment to complex orchestrated reset flows and secure recovery. If you are someone who enjoys looking at a high-level system diagram and then immediately diving into the I2C/I3C bus topologies and PLDM command structures required to make it work, this role is for you. What you'll be doing: • System Architecture & Flow Definition: Define and document comprehensive production, provisioning, update, recovery and reset flows for SmartNIC cards. Crucially, you will ensure that these board-level architectural decisions perfectly align with and support overarching platform-level needs, orchestrating seamless coordination between the NIC ASIC, BMC, CPU, and peripheral components. • Security & Provisioning: Specify security provisioning flows including OTP fusing, secure boot enablement, attestation key injection, certificate chain management, RPMC key derivation, and PQC (Post-Quantum Cryptography) requirements. Define IPN-to-OPN transition and component locking procedures. • Protocol Implementation & Guidance: Specify the use of standard management protocols (MCTP, PLDM, SPDM, NC-SI) across internal board interfaces to achieve secure boot, firmware updates, and telemetry gathering. • Hardware/Software Intersect: Dive deep into device-level hardware and software behaviour. Define CPLD logic requirements, power-sequencing dependencies, and reset orchestration (e.g., handling PCIe PERST#, SBR, and forced resets) for multi-host and standalone SmartNIC environments. • Interface Management: Architect intra-board communication pathways using PCIe, I2C/I3C, USB, and SPI, ensuring robust out-of-band (OOB) and in-band management connectivity. • Cross-Functional Leadership: Collaborate tightly with Production teams, Hardware and Firmware Engineering, NIC FW/Driver teams, and QA to translate your architectural specifications into implementable, testable realities. • Technical Documentation: Author rigorous technical specifications, test plans, and architectural design documents to guide both development and factory production. What we need to see: • Deep System-Level Perspective: Proven ability to understand complex computing or networking systems top-to-bottom, with a specific background in SmartNIC boards, chassis, or network tray architectures. • Device-Level Expertise: Hands-on experience debugging or architecting flows involving BMCs (e.g., OpenBMC), MCUs, CPUs, and complex networking ASICs. • Protocol Fluency: Strong working knowledge of modern platform management and security protocols, specifically MCTP, PLDM (Type 2, 5, etc.), SPDM, and NC-SI. • Hardware Interface Knowledge: Deep familiarity with board-level communication buses (I2C, I3C, SPI, USB) and system interconnects (PCIe architecture, including link states and reset mechanisms). • Analytical Documentation Skills: Exceptional ability to write clear, unambiguous technical specifications, state-machine descriptions, and sequence diagrams. • Experience Level: Typically requires a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field, alongside 8+ years of relevant industry experience. Ways to stand out from the crowd: • Experience with Redfish API definitions and OOB network infrastructure. • Familiarity with hardware root of trust (HRoT / eROT) concepts and secure boot architectures. • Experience with PLDM firmware update bundle packaging and update agent implementation. • Experience with production line tooling, factory provisioning, and manufacturing test flows. • Networking Experience: Background in general networking principles, SmartNIC data-plane and offload operations, or high-speed data center topologies.

Are you a person who likes to work in a fast paced organization? For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. NVIDIA is now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence. Our data centers, and the thousands of servers installed in them, are the foundation upon which our creative products and services are delivered. Our customer base consists of hundreds of deeply intelligent engineers who continually provide us with complex problems to be solved. We are looking for a highly motivated Data Center Engineer to join our team. Having depth and breadth knowledge of working in data center facilities in a large-scale distributed environment is a strength you'll need. You should have deep knowledge and experience in at least one of the following core areas: Project Management, Hardware Operations, Network Operations or Data Center Operations. What you'll be doing: • Act as technical liaison for our technical teams. • Project manage highly impactful large and small scale data center and lab projects. • Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware. • Contribute to the development of the global DC knowledge base • Lead teams to deploy new data center infrastructure, deliver server upgrades, integration, rebuild and other projects as required • Build plans to optimize power, cooling and network resources • Inventing the forecast to efficiently match supply to demand. Predict data center growth and scaling issues before they occur and implement solutions. You will acquire new facilities and optimize existing ones to support the business growth. • You will hunt for and resolve issues as well as analyze data looking for trends and systemic issues. Implement process improvements and develop a cutting edge operational environment. What we need to see: • 5+ years of experience in large-scale data center hardware deployments, building data centers and directly leading data center relocation projects. • Technical certification and/or relevant work experience. • Ability to understand internal customer problem and provide technical solution in timely manner • Demonstrable ability to prioritize effectively, and experience with technical project management. • Understanding of Data Center infrastructure including power , cooling , structured cabling (copper, fiber ). • Experience in developing and reviewing MOP and SOPs, to minimize our operating risks. • Strong interpersonal skills and ability to communicate effectively with a diverse group of customers and staff. • Deep understanding of data center power and cooling (liquid ,air etc..) infrastructure, network and cabling infrastructure and root cause analysis skills. Ways to stand out of the crowd: • Knowledge of programming languages ( Python , SQL, Bash etc..) • Experience with Nautobot/Netbox , monitoring tools , Service Now and Inventory Management tools. • You're a self-starter with an attitude for growth, continuous learning, and constantly looking to improve the team and build strong business relationships • Attention to detail with superb interpersonal skills and the ability to effectively manage multiple priorities. • Theoretical and/or hands-on knowledge of liquid cooling infrastructure. 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 networking unit is a world-leader fast-growing company which supports the most powerful supercomputers in the world. We make outstanding artificial intelligence happen and accelerate Open-AI’s Chat-GPT, for example. We believe in our people and products and seek excellent people to join us! We're looking for a hardware architect for our NIC and DPU division. In this position, as part of a small (~15 employees) elite team, you will have the chance to define the architecture of NVIDIA’s next generation NIC and DPU products. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams to improve performance and debug. What you'll be doing: • Learn and understand the NIC u/architecture thoroughly across all aspects and become a source of information for the design and verification engineers. • Define the next generation NVIDIA systems. Work closely with GPU and CPU teams for building the cut-edge systems. • Define the implementation of the most sophisticated features of our next products, balancing architecture requirements with backend, execution, and design considerations. • Understand our system requirements and help define the POR of our NIC and DPU product line. • Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units’ designers as they require full cross-unit understanding of the chip. • Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc. • Thoroughly understand SoC flows, PCIe, Ethernet, InfiniBand and NvLink protocols. What we need to see: • B.Sc./M.Sc in Electrical Engineering from a known university • Excellent grades • 5+ years of experience in ASIC design/uarch/arch/performance • At least 4 years of hands on experience in writing Verilog/VHDL or • Strong analytic capabilities, and passion for solving logical issues • Strong debug skills • Ability to drive complex activities involving many interfaces and teams • Good communications skill NVIDIA's architecture teams are among the most technically demanding in the industry. If you're a senior architect who has already started using AI — and wants to institutionalize that change across an entire organization — we want to hear from you.

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: • You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs. • Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips. • We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards. • Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • You should have at least 5+ years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise. • A strong background in Physical Verification methodology, including DRC / LVS / ANT / ERC / DFM in advanced process nodes is necessary. • Proficiency using Python, Tcl, Shell, Make scripting. • Experience in Linux environments. • AI tools orientation or alternatively a desire to learn. • Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus). • Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre) • Self-motivation, attention to detail, and good interpersonal skills. Ways to stand out from the crowd: • Experience with data collection and analysis • Experience in methodology definition / flow owner of Full-chip / Place and Route • 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!

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 is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed. What you’ll be doing: • Prototype end-to-end solutions to improve distributed training and disaggregated inference performance. • Analyze and optimize communication flows across application, transport, and network layers. • Develop system software spanning communication libraries, drivers, and firmware integrations. • Collaborate with hardware, firmware, and SDK teams to co-design network features. • Validate and integrate prototypes into NVIDIA’s AI infrastructure and products. What we need to see: • BSc/MSc/PhD in Computer Science or Electrical Engineering • 5+ years of relevant experience and/or knowledge • Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control. • Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers). • Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed). Ways to stand out from the crowd: • Demonstrated innovation and leadership turning prototypes into impactful product features. • Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs). • Familiarity with NIC firmware scheduling, in-network compute, or congestion management. • Contributions to open-source projects, academic papers, or performance benchmarking tools. • Strong background in AI factory architectures, distributed inference, or network telemetry. NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!

NVIDIA is looking for an experienced DFT Engineer to join an exceptional team of DFT experts to develop the next generation DFT technologies. As a DFT engineer at the networking group 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. • 10+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Familiarity with backend flows. • 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, Verification experience. • Experience in working with back-end on area, power and timing closures. • Experience with CDC flows and tools. • Experience with silicon testing. • Cad tool development experience. 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!

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities. Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field. What you'll be doing: • Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences. • Combine traditional diffusion technologies with the latest and greatest LLMs. • Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions. • Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company. • Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications. What we need to see: • PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience. • At least 3 years of relevant research experience • Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR • In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area • Extensive experience in image and video understanding, generation, and reasoning. Ways to stand out from the crowd: • High proficiency in programming and coding • Degree from a top-tier institution or equivalent experience in a world-class industrial research group • Substantial contributions to the multi-modality or diffusion forefront of research. • Experience in research fields of LLMs. Candidates should apply with a detailed CV, publication list, and brief research statement.

We are looking for a Chip Design DFT/Post Silicon Manager to develop the next generation DFT technologies. As a Chip Design DFT/Post Silicon Manager in the DFT team at NVIDIA, you will lead team that transfer our DFT technologies to post-silicon in various projects and support the enablement. 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 complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals. What you’ll be doing: Define and develop characterization and validation techniques for post-silicon bring up and production test, spanning electrical, functional, and performance characterization. Working in close coordination with DFT and test engineering, yield, FW and other teams, lead methodology planning for future products and serve as the synchronization point between teams. Day to day, this means: • Driving alignment on tooling, flows, and coverage requirements ahead of tape-out and first silicon • Translating product requirements and silicon behavior into structured characterization plans with clear coverage targets, risk areas, and Product quality metrics (Test Time , Pattern count and so on). • Leading methodology transfer into execution — working with team managers to ensure tooling, methods, and engineers are in place for a smooth handoff • Identifying methodology gaps early in the program cycle and resolving them through cross-functional collaboration What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ overall years of experience with DFT, IC silicon validation, product engineering, test engineering. • 2+ years of managerial experience. • Ability to work in a fast-paced, multifaceted work environment with a focus on technical excellence, innovative thinking, and strong analytical skills. • Ability to self-manage, show leadership, and possess good social skills. • Deep hands-on engineering background — this role leads, but is encouraged to be technically authoritative and roll up sleeves when needed. • Strong cross-functional communication skills; comfortable aligning with US-based teams across time zones and organizational boundaries. Ways to stand out from the crowd: • Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy/VCS). • Experience with Specman/UVM is a plus. • Good understanding of RTL design (Verilog). • Product Engineering experince. 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 verification Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role. What you will be doing: • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures. • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What we need to see: • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • You have 8+ years of relevant experience in software development or research work. • Programming fluency in C/C++ with a deep understanding of algorithms and software development. • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. • Hands on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills. Ways to stand out from the crowd: • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. • Excellent understanding of linear algebra. 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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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. #deeplearning

NVIDIA is building some of the most sophisticated semiconductor platforms globally, powering breakthroughs in networking, AI infrastructure, and high-performance computing. Our NICs and Switches link the largest AI clusters worldwide. Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic hardware architecture, and we are seeking an experienced architecture lead for our AI-for-Architecture team within the Networking Architecture group. You will define and promote intelligent architecture flows across our NIC and Switch architecture groups. You will develop the agents, tools, and processes that transform how architects explore design tradeoffs, and validate models and specifications. In this leadership role with org-wide scope, you will collaborate with an AI engineering team to develop flows from concept to production. You will also serve as the technical authority on what good AI architecture work means at NVIDIA. What You'll Be Doing: • Define the roadmap for AI-driven architecture flows — from data collection, modelling and micro-architecture agents that help architects explore feature options, to review and validation agents that set the standard for output quality. • Work with architects on tough problems, suggest and build agentic flows to address these problems and shorten the time to a good solution. • Partner with the AI engineering pod to translate architecture workflows into production agents, MCP integrations, and eval harnesses. • Act as the domain authority and quality judge: recognize what excellent architecture output looks like and verify that AI-assisted flows meet that bar. • Drive adoption: work with networking architects, run beta cycles, close feedback loops and facilitate widespread usage of our tools/methods. • Represent the team's technical direction to senior architecture and product leadership. What We Need to See: • B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. • 6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC. Experience with architectural workflows defining microarchitecture specs, performance models, or architecture decision documents, etc.. • Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor). • Engineering committed to quality — for example, the ability to judge AI output quality for architecture tasks and suggest validation-fix strategies to improve it. • Strong interpersonal skills — explain AI flows for architects lacking AI engineering expertise, and distill hardware architecture trade-offs for engineers without architectural backgrounds. • Consistent track record driving adoption of new tools or processes across a technical organization. Ways to Stand Out from the Crowd: • Hands-on experience applying LLMs, agents, or prompt-plus-code pipelines to real engineering work. • Expertise with high-speed networking silicon — InfiniBand, Ethernet, switch fabric architecture, NIC/RDMA subsystems. • Familiarity with LLMs: transformer architecture (attention, MLP, MoE) and LLM training/inference parallelism (DP, PP, EP, TP). • Background defining and measuring engineering productivity metrics — making the impact or our work visible to leadership. • Track record shipping internal platform tools or developer-experience infrastructure at scale. NVIDIA's architecture teams are among the most technically demanding in the industry. If you're a senior architect who has already started using AI — and wants to institutionalize that change across an entire organization — we want to hear from you.

We are seeking a highly motivated Senior IC-System Architect for High Speed Networking Systems. To join our team of experts and help build the future of high-performance computing focusing. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a IC-System Architect for High-Speed Networks at NVIDIA focusing on improving our ASIC solution. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers. What you'll be doing: • Crafting and architecting the ASIC - System requirements for NVIDIA Systems focusing on ASIC yield improvements. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment. • Leading the development and implementation of the systems to ensure world-class performance, reliability and at scale high quality ASIC manufacturing. • Successfully implementing and managing projects to meet ambitious deadlines and performance targets. What we need to see: • BSc or MSc in Electrical Engineering or equivalent experience. • 8+ years of experience in Chip design, System and HW. • Deep understanding of how to build and integrate systems with various technology components. • Proficiency in advanced system-level Architecture. • Excellent communication skills to effectively work with diverse teams and collaborators. • Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment. • Possess strong managerial, problem solving and critical thinking skills. • Attention to details on design and high focus on design quality. 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!