System Architect jobs in Yokneam

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 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.

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.

NVIDIA’s Product Engineering group is looking for a well experienced Test architect to join our family and be a part of System Product Engineering. The System Product Engineering team is responsible to assure that NVIDIA’s customers will get the best state of the art high-quality products using the below: • Development and deployment of automatic testers for NVIDIA’s network business units (Computing network adapters and High-speed switch systems) including hardware and software • Analyzing and monitoring the manufacturing data and find / prevent quality issues based on big data using Machine learning, statistical tools, and AI (artificial intelligence) • Leading smooth production and capacity enlargement • Failure analysis of return material from customers to understand the reason of failures. • Validate the test performance and stability using QA (V&V – validation and verification) methods The teams are involving and part of the full product lifecycle from architecture definition trough development till the product will be EOL (end of life). As part of the effort mentioned above, we are looking for an Electronic Engineer to join the System Design Testing Architecture team and lead Systems HW testability definition for NVIDIA’s Networking systems. What you’ll be doing: • Leading optimal products testing definitions includes: HW, SW, FW, Mechanical fixtures, and cables/harnesses for customized production testing set ups. • Making pitches in front of large audience a new product testing architecture, DFT and testing method while providing justifications for the testing concept. • Responsible for product testing maximum coverage, Testing specification documents and production test flow process for each system • Working with Company’s engineering team during the developing process of the product from pre-design trough the design and influence on the product design from DFT – design for testability aspects. • Supporting production ramp up and scalability, lead and fast responding time for ECR/ECO implications. • Examine New Technologies, testing capabilities and their implementation for the next generation products • Ensure testing set ups and coverage are met the DFT requirements and timetable • Lead DFT Risk assessment and drive mitigations to reduce the risks. What we need to see: • BSc, MSc Electrical Engineering • Integration capabilities of self-task management, vast electronic knowledge, production and testing process knowhow. • Background in working with contract manufacturers and suppliers • Minimum 5 years of experience as a DFT engineer at chip/system level, as Board Design engineer or as system architect • Management and follow up till completion of multi-functional and personal tasks. • Personal skills: proactive and self-instruction, good interpersonal relationship, multitasking, well organized and a quick learner. 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 and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we are building the AI factories that power the future of human intelligence! As we scale from thousands to millions of GPUs, the "pipes" that connect them have become the most critical bottleneck in modern computing. This is where you come in! We are looking for a visionary Senior System Architect to lead the charge in defining how we move data at speeds the world has never seen. We want to bridge the gap between silicon and the rack, ensuring our NVLink and InfiniBand fabrics remain the gold standard for performance. This is a chance to join a team where we don't just follow industry standards—we set them! You will work at the intersection of Signal Integrity (SI), Mechanical Engineering, and System Protocol design to ensure that our NVLink and InfiniBand/Ethernet fabrics scale to terabit-per-second speeds with industry-leading power efficiency and reliability. What You’ll Be Doing: • Architectural Definition: Lead the end-to-end definition of high-speed interconnect systems for next-gen AI platforms (e.g., Rubin and beyond), focusing on 224G/448G PAM4 lanes and beyond. • Technology Roadmap: Evaluate and select pioneering technologies such as Co-Packaged Optics (CPO), Silicon Photonics, and advanced OSFP/QSFP-DD form factors. • System Co-Design: Collaborate with ASIC, Thermal, and PCB teams to optimize the "Silicon-to-Connector" path, minimizing insertion loss and improving signal integrity. • Standardization Leadership: Represent NVIDIA in industry standards bodies (e.g., IEEE 802.3, OCP, MSA) to influence the future of high-speed connector and cable specifications. • Vendor Ecosystem: Work with world-class connector and cable vendors to drive custom mechanical and electrical designs that meet NVIDIA's unique performance requirements. • Performance Modeling: Conduct trade-off analyses between reach, power, latency, and cost for various interconnect media (Copper vs. Optical). What we need to see: • Deep understanding of Channel Operating Margin (COM), BER, FEC, and crosstalk in 112G and 224G PAM4 environments. • Expert knowledge of PCIe (Gen 6/7), Ethernet (800G/1.6T). • Sophisticated knowledge of OSFP, QSFP-DD, and SFP-DD form factors; experience with DAC, ACC, and AOC architectures. • Familiarity with Silicon Photonics, CPO, and MPO/APC fiber architectures. • B.Sc./M.Sc. or PhD or equivalent experience in Electrical Engineering, Physics, or related field. • 12+ years in high-speed hardware design or system architecture, with a proven track record of shipping high-volume data center products. • Ability to predict technology bottlenecks 3–5 years in advance. • Multi-functional Influence: Ability to align Software, Hardware, and Thermal teams on a single architectural vision. • Exceptional ability to present complex trade-offs to executive leadership. 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. 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.