Hardware Architect jobs in Yokneam

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!