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Austin, Texas, United States
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The Central Engineering Group is seeking an energetic, visionary, and passionate Agentic AI Architect to
spearhead the design, deployment, and optimization of cutting-edge autonomous multi-agent AI
architectures. In this strategic engineering role, you will be instrumental in revolutionizing IP block
development and support workflows across complex semiconductor design phases. You will leverage
state-of-the-art LLM orchestration, Model Context Protocol (MCP) integrations, and enterprise-grade
verification frameworks to drive unprecedented efficiency, quality, and automation in hardware
engineering environments.
Experience: 10+ years of progressive, relevant experience in software architecture, AI systems
engineering, or semiconductor automation design.
● Education: Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, Computer
Science, or a closely related technical field.
Key Job Responsibilities
● Autonomous Multi-Agent System Architecture & Scaling
● Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks
tailored to transform intricate semiconductor design workflows.
● Orchestrate long-horizon, autonomous agent executions capable of managing multi-step
reasoning, task decomposition, and decision-making across all phases of chip
development and IP block lifecycle management.
● Enterprise Tool Ecosystem Integration & Protocols
● Seamlessly integrate Large Language Model (LLM)-driven agent pipelines with core
Electronic Design Automation (EDA) suites, custom in-house software tools, and
enterprise data repositories.
● Drive standardized tool-use integration protocols, including the Model Context Protocol
(MCP), ensuring seamless interoperability across heterogeneous software environments.
● Governance, Risk Mitigation & Safety Guardrails
● Formulate and implement comprehensive human-in-the-loop (HITL) review gates,
deterministic verification logic, and safety guardrails to maintain zero degradation in IP
quality
● Integrate end-to-end auditability, traceability, and operational safety for non-deterministic
AI agent outputs within mission-critical hardware design routines.
● Advanced Context & Memory Engineering
● Architect and optimize persistent short-term and long-term memory architectures that
empower autonomous agents to maintain contextual continuity.
● Enable agents to retain project state across iterative simulation regressions, complex
debugging sessions, and hardware bring-up feedback loops.
● Cross-Domain Strategic Orchestration
● Partner collaboratively with Design Leads, EDA Tool Specialists, and Infrastructure
Engineers to distill complex, domain-specific hardware engineering methodologies into
modular, goal-driven agentic workflows.
● Align AI workflow capabilities directly with organizational efficiency targets and technical
milestones across the Central Engineering Group.
Required Skillset & Technical Competencies
● AI Engineering & Multi-Agent Expertise:
● Experience architecting production-grade LLM applications: multi-agent orchestration,
function-calling/tool-use, and retrieval-augmented generation (RAG).
● Experience integrating agentic systems with enterprise tools, services, and knowledge
sources – including building and consuming Model Context Protocol (MCP) servers, and
packaging reusable agent capabilities (e.g., Agent Skills).
● Deep experience with agent orchestration frameworks such as LangGraph.
● Semiconductor Domain Knowledge & EDA Tooling:
● Fundamental grasp of chip design methodologies, IP block development lifecycles, and
verification environments.
● Hands-on familiarity with industry-standard EDA tooling and frameworks
from Synopsys, Cadence, and Siemens EDA, alongside System Verilog &
UVM verification environments.
● Software Engineering & Infrastructure Mastery:
● High proficiency in core programming languages and system design concepts,
specifically Python and TCL.
● Expertise in microservices architecture, REST APIs, Docker, Kubernetes, Sandboxing,
and config-driven workflow orchestration engine design.
● AI System Verification & Data Engineering:
● Proven experience establishing evaluation metrics, testing benchmarks, and safety
guardrails for non-deterministic AI systems in high-stakes environments.
● Technical depth in Vector Databases, and cloud-native containerized orchestration
pipelines.
Compensation and Benefits
As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
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