Lead Agentic AI Architect for Chip Design

Broadcom; Austin (TX); On-site; USD 129,000 - 207,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity grants and annual equity awards

Medical, dental and vision plans

401(k) with company match

Employee Stock Purchase Program (ESPP)

Employee Assistance Program (EAP)

Job summary

Broadcom seeks an Agentic AI Architect to lead autonomous multi-agent systems for cutting-edge semiconductor IP block development and verification. You will architect and deploy LLM-driven pipelines, integrate MCP servers, and coordinate with EDA toolchains across complex hardware design phases.

The role requires 10+ years in software architecture or AI systems for semiconductor automation, with a Master’s or PhD in a related field. Expect equity grants and a comprehensive benefits package.

Qualifications

• Proven experience architecting production-grade LLM applications with multi-agent orchestration.
• Experience integrating agentic systems with enterprise tools and knowledge sources, including MCP.
• Strong background in semiconductor software architecture and hardware design workflows.

Responsibilities

• Design, deploy, and scale autonomous multi-agent AI architectures for chip development.
• Integrate LLM-driven agent pipelines with EDA tools and enterprise data stores.
• Implement HITL review gates, deterministic verification, and safety guardrails.
• Ensure auditability, traceability, and safety for non-deterministic AI in hardware routines.
• Collaborate with Design Leads and Infrastructure Engineers to modularize workflows.

Skills

LLM orchestration

Multi-agent systems

Python

REST APIs

Docker

Kubernetes

SystemVerilog/UVM

EDA tooling

Vector databases

Education

Master’s or Ph.D. in EE/CE/CS or related field

Tools

LangGraph

MCP servers

Synopsys/Cadence/Siemens EDA

Job description

Broadcom seeks an Agentic AI Architect to lead autonomous multi-agent systems for cutting-edge semiconductor IP block development and verification. You will architect and deploy LLM-driven pipelines, integrate MCP servers, and coordinate with EDA toolchains across complex hardware design phases.

The role requires 10+ years in software architecture or AI systems for semiconductor automation, with a Master’s or PhD in a related field. Expect equity grants and a comprehensive benefits package.