Job Title
Staff ASIC Design Engineer - Agentic Workflows
Staff ASIC Design Engineer - Agentic Workflows
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
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Domain Knowledge & Tool Enablement
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Encode chip-design expertise (RTL/DV best practices, microarchitectural patterns, failure modes) into reusable, agent-consumable knowledge and playbooks.
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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.
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Agent Workflow & Orchestration
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Design end-to-end agent workflows for chip design, verification, debugging, and iterative refinement using structured process graphs.
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Decompose complex silicon workflows into executable agent steps with clear inputs, Docusign Envelope ID: 35092250-FD13-4BEE-BB80-023505CB0E12 outputs, and success criteria, including hierarchical and iterative patterns.
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Prompt Engineering & Agent Behavior
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Develop high-quality prompts covering specification, microarchitecture, RTL, verification, and debug.
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Define agent behavior models, guardrails, and few-shot examples that guide reasoning, assumption validation, and error handling in chip-design tasks
Required Qualifications
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10+ years of experience (Staff) across the key domains: Chip Design & Verification
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Digital IC, ASIC, or SoC design or verification, with strong hands-on expertise in SystemVerilog RTL and UVM.
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Deep familiarity with lint, CDC/RDC, simulation, timing constraints, and STA, and a solid understanding of microarchitecture (pipelines, FIFOs, DMA, caches, interconnects).
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Ability to clearly explain design tradeoffs and debugging strategies.
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Agentic AI & Software
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Experience with LLM-based agent systems, prompt engineering, and workflow decomposition.
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Familiarity with agent orchestration frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, or equivalent custom systems.
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Proficiency in Python and experience integrating external tools into automated workflows.