Senior E2E Hardware Architect, AI Networking

NVIDIA is excited to invite an experienced and innovative Senior E2E Hardware Architect to join our Networking Architecture team in Israel. This role offers an outstanding chance to develop the next generation of networking software and hardware that powers AI data centers and accelerated computing.

You will lead end-to-end architectural explorations, find opportunities for innovation, and introduce new networking features and technologies into future NVIDIA platforms. What You’ll Be Doing Lead end-to-end architecture explorations across host, NIC, and switch hardware to define innovative networking technologies and capabilities.

Identify architectural bottlenecks, technology gaps, and optimization opportunities across networking systems. Define and drive new hardware features and architectural improvements for next-generation NVIDIA networking platforms. Explore architectural alternatives and evaluate tradeoffs involving performance, resiliency, efficiency, scalability, complexity, and hardware resources.

Translate system-level requirements and emerging workloads into concrete hardware architecture proposals and feature definitions. Drive architectural initiatives from early research and proof of concept through feasibility analysis, specification, and handoff to product architecture and development teams.

Collaborate with hardware, firmware, software, and performance modeling teams to evaluate and validate architectural concepts. Examine networking issues in extensive data centers and accelerated computing settings. What We Need To See B.Sc. or M.Sc.

in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. 8+ years of industry experience in hardware architecture, microarchitecture, or system architecture. Proven hardware architecture experience in at least one of the following: NICs or DPUs. High-performance Ethernet switches or networking ASICs.

Host architecture, CPU/SoC subsystems, or high-speed I/O and interconnect architecture. Strong understanding of hardware architecture principles, performance optimization, and architectural tradeoffs. Demonstrated ability to analyze complex technical problems, explore alternative solutions, and define innovative architectural approaches.

Strong system-level thinking and the ability to understand interactions between hardware components and software. Experience driving architectural features or technical initiatives across multidisciplinary engineering teams. Excellent communication, analytical, and technical leadership skills. Ways To Stand Out From The Crowd Knowledge of Ethernet networking, RDMA/RoCE, InfiniBand, or advanced networking protocols.

Experience with large-scale data center networks, high-performance computing, or distributed systems. Experience with end-to-end performance analysis, architecture modeling, or simulation. Understanding of congestion control, flow control, packet processing, or network transport mechanisms. Experience defining new hardware capabilities across multiple components or platforms.

Join NVIDIA and play a role in developing the networking technologies that will support the next generation of AI infrastructure!