System Architect jobs in Tel Aviv-Yafo

Description Tel Aviv #LI-Hybrid DriveNets is redefining how hyperscalers and service providers build, automate, and operate next-generation networks. Our cloud-native Network Cloud platform powers some of the world’s largest infrastructures, including more than half of AT&T’s backbone. We are looking for a highly technical, hands-on System Architect to lead the architecture and evolution of DriveNets Automation Platform (DAP), with focus on: Infrastructure automation Service lifecycle orchestration Multi-tenant operations Intent-based networking Closed-loop assurance Cloud-native OSS transformation This role is ideal for architects passionate about scalable automation systems, distributed cloud-native platforms, and carrier-grade operational workflows. The Role As a DAP Infrastructure & Services Automation Architect, you will define and drive the architecture for automation frameworks enabling lifecycle management of DriveNets Network Cloud deployments at hyperscale. You will bridge: Network infrastructure NOS internals Kubernetes-native microservices OSS/BSS integration Telemetry and analytics CI/CD operational models AI-assisted operational automation You will work closely with: DAP engineering Infrastructure teams NOS platform groups DevOps/SRE Product management Tier-1 service provider customers Requirements Networking & Infrastructure • 6+ years designing large-scale Service Provider or hyperscale IP/MPLS networks • Strong understanding of: • BGP • ISIS • RSVP-TE • EVPN/VXLAN • Segment Routing • QoS architectures • Deep familiarity with distributed routing systems and disaggregated architectures Automation & Cloud-Native • 4+ years in network automation and orchestration • Strong knowledge of: • NetConf/YANG • gNMI • REST/gRPC • OpenConfig • Hands-on Kubernetes architecture experience • Strong understanding of: • Docker • Helm • Service meshes • Microservices • Event-driven systems Observability & Reliability- Experience with: • Prometheus • Grafana • OpenTelemetry • Kafka • Pulsar • RabbitMQ • Strong SRE mindset: • HA • Scalability • Failure domains • Reliability engineering • Operational resiliency Ideal Candidate Profile The ideal candidate combines: • Deep networking expertise • Cloud-native software architecture • Automation-first thinking • Operational scalability mindset • Strong customer-facing communication • Ability to translate hyperscale operational requirements into reusable platform capabilities This architect should be capable of designing systems that automate and operationalize distributed Network Cloud clusters as a unified, intent-driven platform while enabling future DAP expansion into advanced Infrastructure and Service orchestration domains. DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

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.