Hardware Architect jobs in Tel Aviv-Yafo

Overview Microsoft is building the fastest and most reliable networks for AI and cloud data centers. Microsoft Azure is one of the largest public cloud platforms worldwide, providing a great channel for product impact that touches the lives of millions of users daily. Microsoft’s partnership with world leaders in AI technology provides unparalleled opportunities for innovation at the cutting edge of high-performance computing and networking. Our team has delivered Azure Boost to production through 2 generations and we are now looking for talented hardware design engineers to join our team, developing Azure’s next generation networking ASICs.  Microsoft’s innovative approach for hardware/software co-design leverages custom-designed hardware to offload and accelerate many types of computations and functions of the Azure network. Our vertical work environment offers an unparalleled opportunity to define end-to-end features, implement & test them, participate in their deployment in the cloud, and see your work used on a global scale! Come join us and be challenged daily as you build advanced hardware/software acceleration solutions for some of the world’s largest datacenter networks and AI supercomputers. This is a great opportunity to join a team that has built some of the largest scale cloud systems ever deployed and learn from the very best. Responsibilities • Define and drive architecture and microarchitecture of Azure’s next-generation networking devices and features within them. • Serve as a source of knowledge and information for hardware design, verification and software engineers • Own cross-unit hardware architecture and HW/SW interfaces, balancing system requirements, functionality, performance, cost, reliability, and implementation complexity. • Provide technical leadership across design, verification, performance, software, and physical design teams. • Drive complex system-level debug, silicon bring-up, and deployment to cloud production. • Mentor engineers and influence the technical direction of future products. Qualifications • • • 10+ years demonstrated experience in ASIC design, verification, and/or architecture, preferably in the networking world. • BSc/MSc/PhD in Electrical or Computer Engineering from a major university.  Other: • Proven background in hardware architecture, operating systems, I/O devices, networking. • Proven experience delivering complex ASIC features from architecture to silicon deployed at scale. • Proven analytical, problem-solving, and cross-team technical leadership skills. • Proven communication skills in English. • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter #azurecorejobs #azurehardwarejobsil This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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.