Hardware Architect jobs in Israel

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.

Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv. Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications. In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment. Why Join Us? • Shape Mobileye’s next-generation automotive compute platforms. • Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies. • Influence platform decisions from early concept through deployment. • Collaborate with leading experts across hardware, software, SoC architecture, safety, and security. • Solve complex multidisciplinary challenges that will shape future vehicle architectures. What will your job look like: • Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations. • Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components. • Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces. • Translate product and customer needs into clear system requirements, interface specifications, and design guidelines. • Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security. • Influence EyeQ™ SoC requirements and drive platform BOM and component architecture. • Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams. • Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation. • Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners All you need is: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products. • Proven experience defining complex board-level and system-level hardware architectures. • Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes. • Experience with system block diagrams, interface specifications, product requirements, and reference designs. • Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security. • Strong system thinking and experience driving technical decisions across multiple engineering disciplines. • Excellent written and verbal communication skills in English. Nice to have: • Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers. • Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration. • Knowledge of functional safety and ISO 26262. • Knowledge of automotive cybersecurity and secure system architectures. • Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA. • Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv. Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications. In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment. Why Join Us? • Shape Mobileye’s next-generation automotive compute platforms. • Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies. • Influence platform decisions from early concept through deployment. • Collaborate with leading experts across hardware, software, SoC architecture, safety, and security. • Solve complex multidisciplinary challenges that will shape future vehicle architectures. What will your job look like: • Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations. • Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components. • Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces. • Translate product and customer needs into clear system requirements, interface specifications, and design guidelines. • Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security. • Influence EyeQ™ SoC requirements and drive platform BOM and component architecture. • Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams. • Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation. • Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners All you need is: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products. • Proven experience defining complex board-level and system-level hardware architectures. • Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes. • Experience with system block diagrams, interface specifications, product requirements, and reference designs. • Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security. • Strong system thinking and experience driving technical decisions across multiple engineering disciplines. • Excellent written and verbal communication skills in English. Nice to have: • Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers. • Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration. • Knowledge of functional safety and ISO 26262. • Knowledge of automotive cybersecurity and secure system architectures. • Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA. • Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv. Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications. In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment. Why Join Us? • Shape Mobileye’s next-generation automotive compute platforms. • Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies. • Influence platform decisions from early concept through deployment. • Collaborate with leading experts across hardware, software, SoC architecture, safety, and security. • Solve complex multidisciplinary challenges that will shape future vehicle architectures. What will your job look like: • Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations. • Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components. • Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces. • Translate product and customer needs into clear system requirements, interface specifications, and design guidelines. • Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security. • Influence EyeQ™ SoC requirements and drive platform BOM and component architecture. • Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams. • Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation. • Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners All you need is: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field. • 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products. • Proven experience defining complex board-level and system-level hardware architectures. • Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes. • Experience with system block diagrams, interface specifications, product requirements, and reference designs. • Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security. • Strong system thinking and experience driving technical decisions across multiple engineering disciplines. • Excellent written and verbal communication skills in English. Nice to have: • Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers. • Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration. • Knowledge of functional safety and ISO 26262. • Knowledge of automotive cybersecurity and secure system architectures. • Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA. • Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and amazing people.As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.NVIDIA is looking for a hardware architecture engineer to join the hardware team! Hardware team responsible for full execution of systems, adapters and interconnect for AI cluster deployments. What you'll be doing: • Lead hardware next generation end-to-end definition and architecture (Switch,interconnect, adapter) • Define form factor selection; SI, power and thermal consideration, and channel optimization (Mech/thermal/cluster layout) • Align hardware systems and chip design teams toward unified definition • Combine understanding of hardware end-to-end in parallel with Software aspects • The position requires working closely with different Engineering and Operations teams • A “Hands On” enginer who is familiar with new technologies and can take a task from scratch to completion with ease! What we need to see: • B.Sc. or M.Sc. degree in electronic engineering or equivalent experience • 12+ years of board/system design related development experience • Experience development in mass production environment • Familiarity with optics technology • Experience in Ethernet networks • Familiar with new PCB/power/ASIC technologies • Ability to take new technology into execution and lead technical task forces • Familiar with system design tools Ways to stand out from the crowd: • Design for manufacturability /reliability/cost/performance High speed design :28G and above • Experience working with key customers/vendors on strategic technologies 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 a creative manager, with a real passion for managing teams to deliver cutting-edge processors, we want to hear from you! Come, join our CPU Architecture team, and help build the real-time, cost-effective computing platform driving our success across multiple quickly growing fields ranging from the data center to autonomous vehicles.

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.

At NVIDIA, we push the boundaries of Artificial Intelligence using Deep Learning every day, designing better algorithms, hardware and software. By joining the Compute Deep Learning Architecture team you would be in an outstanding position to influence all three and help us push the boundaries even farther in large number of fields like datacenters and autonomous machines. We are looking for remarkable candidate passionate about AI and Deep Learning as much as we are. Would you like to make a difference? What you'll be doing: • As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI. • This position requires you to collaborate with other hardware and software engineers as well as DL researchers. • Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all. • The main focus of this job is from hardware architecture perspective and workload performance. What we need to see: • A degree or equivalent experience in computer science, electrical engineering or related field. • 2+ years of experience in at least some of the following relevant areas is required: Performance, Hardware Architecture, Deep Learning analysis. • A familiarity with GPU computing (Nvidia or others) is a plus. • Excellent interpersonal skills, people who like to collaborate and work within a team. • innovation, motivation and passion. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. An AI-powered robot can communicate and learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun. Come and join us!

At NVIDIA, we push the boundaries of Artificial Intelligence using Deep Learning every day, designing better algorithms, hardware and software. By joining the Compute Deep Learning Architecture team you would be in an outstanding position to influence all three and help us push the boundaries even farther in large number of fields like datacenters and autonomous machines. We are looking for remarkable candidate passionate about AI and Deep Learning as much as we are. Would you like to make a difference? What you'll be doing: • As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI. • This position requires you to collaborate with other hardware and software engineers as well as DL researchers. • Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all. • The main focus of this job is from hardware architecture perspective and workload performance. What we need to see: • A degree or equivalent experience in computer science, electrical engineering or related field. • 8+ years of experience in at least some of the following relevant areas is required: Performance, Hardware Architecture, Deep Learning analysis. • A familiarity with GPU computing (Nvidia or others) is a plus. • Excellent interpersonal skills, people who like to collaborate and work within a team. • innovation, motivation and passion. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. An AI-powered robot can communicate and learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun. Come and join us!