Senior Hardware Architect, Artificial Intelligence

Job Title

Senior Hardware Architect, Artificial Intelligence

Role Summary

Lead the definition and rollout of AI-driven architecture flows for networking silicon (NICs, switches, DPUs) within the Networking Architecture group. Partner with AI engineering to turn architecture workflows into production agents, tools, and validation harnesses.

This is an organizational leadership role: you will set technical standards for AI-assisted architecture work, solve hard architecture problems, and drive adoption across architecture teams.

Experience Level

Senior — expects 6+ years of experience in hardware, firmware, or system architecture.

Responsibilities

Own and operationalize AI-assisted architecture workflows; collaborate with architects and AI engineers to deliver production-ready tools and validate outputs.

• Define roadmap for AI-driven architecture flows: data collection, modeling, agent-based exploration, review and validation.
• Work directly with architects to design agentic flows that accelerate feature exploration and decision-making.
• Collaborate with AI engineering to translate workflows into production agents, integrations, and evaluation harnesses.
• Serve as domain authority: set quality standards for architecture outputs and verify AI-assisted results meet those standards.
• Run beta cycles, gather feedback, and drive broad adoption of tools and methods across the organization.
• Represent technical direction to senior architecture and product leadership.

Requirements

Must-have technical skills, experience, and behaviors for successful performance in this role.

• 6+ years in hardware, firmware, or system architecture for NICs, switches, DPUs, CPUs, or SoCs, with experience defining microarchitecture specs, performance models, or architecture decision documents.
• Practical ability to understand and adopt agentic AI workflows and tools (examples cited: Claude, Codex, Cursor).
• Strong judgement for engineering quality: evaluate AI output for architecture tasks and propose validation/fix strategies.
• Proven interpersonal and communication skills: explain AI flows to architects and distill architecture trade-offs for non-architect engineers.
• Track record of driving adoption of new tools or processes across a technical organization.

Nice-to-have:

• Hands-on experience applying LLMs, agents, or prompt-plus-code pipelines to engineering workflows.
• Expertise with high-speed networking silicon (InfiniBand, Ethernet, switch fabric, NIC/RDMA subsystems).
• Familiarity with LLM internals (transformers, attention, MLP, MoE) and training/inference parallelism.
• Experience defining engineering productivity metrics or shipping internal platform/developer tools at scale.

Education Requirements

B.A., M.Sc., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a related 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.