# Senior Hardware Architect Artificial Intelligence

**Company**: NVIDIA
**Location**: Yokneam, Israel
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Hardware-Architect-Artificial-Intelligence_JR2020064?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6b4a36b3-9f0

## Description

We are seeking an experienced Senior Hardware Architect Artificial Intelligence to define and implement a new agentic hardware architecture. You will lead the AI-for-Architecture team within the Networking Architecture group, developing intelligent architecture flows across NIC and Switch architecture groups.

**Key Responsibilities:**

- Define the roadmap for AI-driven architecture flows, including data collection, modelling, and micro-architecture agents.

- Collaborate with architects to address tough problems and develop agentic flows to shorten the time to a good solution.

- Partner with the AI engineering team to translate architecture workflows into production agents, MCP integrations, and eval harnesses.

- Act as the technical authority on AI architecture work, recognizing excellent architecture output and verifying AI-assisted flows.

- Drive adoption of tools and methods across the organization.

**Requirements:**

- 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.

- Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor).

- Strong interpersonal skills and a track record of driving adoption of new tools or processes.

**Nice to Have:**

- 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 and LLM training/inference parallelism.

- Background defining and measuring engineering productivity metrics.

## Skills

### Required
- Computer Engineering
- Electrical Engineering
- Computer Science
- Hardware Architecture
- Artificial Intelligence
- Agentic AI workflows
- Claude
- Codex
- Cursor

### Nice to have
- LLMs
- transformer architecture
- LLM training/inference parallelism
- InfiniBand
- Ethernet
- switch fabric architecture
- NIC/RDMA subsystems

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Hardware-Architect-Artificial-Intelligence_JR2020064?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)