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Senior Staff Silicon Architect

Cognichip

Redwood City · On-site Full-time Senior 2d ago

About the role

Job Summary

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

Domain Knowledge & Tool Enablement

  • 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

15+ 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.

Skills

ASICAutoGenCDCDMAEDAFIFOsLangGraphLangChainLLMPythonRDCRTLSTASystemVerilogSoCUVM

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