NVIDIA

4 weeks ago

Senior Hardware Architect Artificial Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the definition and implementation of AI-driven architecture flows for NVIDIA's NIC and switch hardware. Define micro-architecture agents, data models, and validation tools to help architects explore design tradeoffs, collaborating with an AI engineering team to push flows from concept to production, and setting the standard for AI-assisted architecture quality.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC.
•B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
•Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor).
•Engineering committed to quality — e.g., 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.

Experience:6+ yearsSemiconductorsAI infrastructureNetworking

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solving

Languages:English

Tech Stack:ClaudeCodexCursorLLMsAIInfiniBandEthernetNICRDMATransformers

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Senior Hardware Architect Artificial Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC.
•B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
•Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor).
•Engineering committed to quality — e.g., 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.

Experience:6+ yearsSemiconductorsAI infrastructureNetworking

Education:Bachelor's

Skills:LeadershipCommunicationProblem-solving

Languages:English

Tech Stack:ClaudeCodexCursorLLMsAIInfiniBandEthernetNICRDMATransformers

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor