Distinguished Silicon Architect

Job Title

Distinguished Silicon Architect

Job Description

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
• Engage 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.