Senior Hardware Architect, Artificial Intelligence

Job Title

Senior Hardware Architect, Artificial Intelligence

Role Summary

Lead the AI-for-Architecture effort within NVIDIA's Networking Architecture group to define and deploy agentic, AI-driven architecture flows across NIC and switch platforms. The role partners with architects and AI engineering to turn architecture workflows into production agents, evaluation harnesses, and accepted org-wide practices.

Experience Level

Senior — typically requires 6+ years of relevant experience in hardware, firmware, or system architecture.

Responsibilities

Primary responsibilities include defining the technical roadmap, partnering with architects and AI engineers, and driving adoption of AI-assisted architecture workflows.

• Define roadmap for AI-driven architecture flows: data collection, modeling, agent design, review and validation agents.
• Collaborate with architects to design agentic workflows that accelerate architecture decisions and tradeoff analysis.
• Partner with AI engineering pods to translate workflows into production agents, MCP integrations, and evaluation harnesses.
• Serve as domain authority on architecture output quality and verify AI-assisted results meet standards.
• Drive adoption: run beta cycles, collect feedback, and scale tooling and methods across the organization.
• Present technical direction and progress to senior architecture and product leadership.

Requirements

Must-have technical skills, experience, and behaviors.

• 6+ years in hardware, firmware, or system architecture for NICs, switches, DPUs, CPUs, or SoCs, including work on microarchitecture specs, performance models, or architecture decision documents.
• Practical ability to adopt and apply agentic AI workflows and tools (e.g., Claude, Codex, Cursor) to engineering tasks.
• Strong judgment for engineering quality and ability to define validation/fix strategies for AI outputs.
• Excellent interpersonal and communication skills: explain AI flows to architects and distill architecture tradeoffs for non-architect engineers.
• Proven track record driving adoption of tools or processes across technical organizations.
• Nice-to-have: hands-on experience applying LLMs, agents, or prompt-plus-code pipelines; expertise in high-speed networking silicon (InfiniBand, Ethernet, switch fabric, NIC/RDMA); familiarity with LLM architectures and training/inference parallelism; experience measuring engineering productivity or shipping developer-platform tools at scale.

Education Requirements

B.A., M.Sc., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related technical field — or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.