**Job Title** Distinguished Silicon Architect **Job Description** **Distinguished Silicon Architect** Design agentic workflows, prompts, and domain knowledge that enable AI agents to perform production-quality chip design and verification. This role focuses on encoding deep silicon expertise - microarchitecture, RTL, DV, and EDA workflows - into structured agent behaviors, playbooks, and tool-aware processes. **Key Responsibilities** - Customer Engagement, Domain Knowledge, Tool Enablement- Enagage with customers to understand their pain points- Encode chip-design expertise (RTL/DV best practices, microarchitectural patterns, failure modes) into reusable, agent-consumable knowledge and playbooks.- Define EDA tool usage for agents—when to run simulation, lint, CDC, synthesis, and STA, how to interpret results, and how to chain tools into reliable flows. - Agent Workflow & Orchestration- Design end-to-end agent workflows for chip design, verification, debugging, and iterative refinement using structured process graphs.- Decompose complex silicon workflows into executable agent steps with clear inputs, outputs, and success criteria, including hierarchical and iterative patterns. - Prompt Engineering & Agent Behavior- Develop high-quality prompts covering specification, microarchitecture, RTL, verification, and debug.- Define agent behavior models, guardrails, and few-shot examples that guide reasoning, assumption validation, and error handling in chip-design tasks **Required Qualifications** - 20+ years of experience (Staff) across the key domains: Chip Design & Verification- Digital IC, ASIC, or SoC design or verification, with strong hands-on expertise in SystemVerilog RTL and UVM.- Deep familiarity with lint, CDC/RDC, simulation, timing constraints, and STA, and a solid understanding of microarchitecture (pipelines, FIFOs, DMA, caches, interconnects).- Ability to clearly explain design tradeoffs and debugging strategies.- Agentic AI & Software Experience with LLM-based agent systems, prompt engineering, and workflow decomposition.- Familiarity with agent orchestration frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, or equivalent custom systems.- Proficiency in Python and experience integrating external tools into automated workflows.