{"id":4160735,"url":"https://alion.io/job/nvidia-senior-e2e-hardware-architect-ai-networking","title":"Senior E2E Hardware Architect, AI Networking","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":751,"ghost_share":0.024,"stale_share":0.581,"repost_share":0.057,"time_to_fill_p50_days":43,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Yokneam, Israel","Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"InfiniBand","optional":false}],"status":"live","first_seen_at":"2026-11-12T12:23:46Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T12:23:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nWhat You’ll Be Doing\nLead end-to-end architecture explorations across host, NIC, and switch hardware to define innovative networking technologies and capabilities.\nIdentify architectural bottlenecks, technology gaps, and optimization opportunities across networking systems.\nDefine and drive new hardware features and architectural improvements for next-generation NVIDIA networking platforms. \nExplore architectural alternatives and evaluate tradeoffs involving performance, resiliency, efficiency, scalability, complexity, and hardware resources. \nTranslate system-level requirements and emerging workloads into concrete hardware architecture proposals and feature definitions.\nDrive architectural initiatives from early research and proof of concept through feasibility analysis, specification, and handoff to product architecture and development teams.\nCollaborate with hardware, firmware, software, and performance modeling teams to evaluate and validate architectural concepts.\nExamine networking issues in extensive data centers and accelerated computing settings. \nWhat We Need To See\nB.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.\n8+ years of industry experience in hardware architecture, microarchitecture, or system architecture.\nProven hardware architecture experience in at least one of the following:NICs or DPUs.\nHigh-performance Ethernet switches or networking ASICs.\nHost architecture, CPU/SoC subsystems, or high-speed I/O and interconnect architecture.\n\nStrong understanding of hardware architecture principles, performance optimization, and architectural tradeoffs.\nDemonstrated ability to analyze complex technical problems, explore alternative solutions, and define innovative architectural approaches.\nStrong system-level thinking and the ability to understand interactions between hardware components and software.\nExperience driving architectural features or technical initiatives across multidisciplinary engineering teams.\nExcellent communication, analytical, and technical leadership skills.\nWays To Stand Out From The Crowd\nKnowledge of Ethernet networking, RDMA/RoCE, InfiniBand, or advanced networking protocols.\nExperience with large-scale data center networks, high-performance computing, or distributed systems.\nExperience with end-to-end performance analysis, architecture modeling, or simulation.\nUnderstanding of congestion control, flow control, packet processing, or network transport mechanisms.\nExperience defining new hardware capabilities across multiple components or platforms.\nJoin NVIDIA and play a role in developing the networking technologies that will support the next generation of AI 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