Staff Silicon Design Engineer
Core
Design and deploy a modular AI agent ecosystem to accelerate the specification-to-netlist lifecycle in silicon design, integrating AI orchestration with hardware infrastructure.
Role type
Senior IC AI/ML engineer (silicon design automation)
Builds
Production-grade AI-assisted silicon design frameworks and agentic workflows for IP development
Domain
Semiconductor / Hardware Design / AI Engineering
Deliverable
production ML models
Required skills
AI/LLM application development, agent-based systems, orchestration frameworks (LangChain, AutoGen, CrewAI), API development, Model Context Protocol (MCP), Python, C++, Go, Linux development, EDA tools (Synopsys, Cadence, Siemens), Verilog/SystemVerilog concepts
Preferred skills
Graph-based agent architectures, tool-calling frameworks, silicon IP design workflows, digital design concepts, scalable system architecture
Technologies
LangChain, AutoGen, CrewAI, MCP, Python, C++, Go, Linux, Synopsys, Cadence, Siemens
Responsibilities
Design and deploy modular AI agent architectures for task decomposition and iterative code generation; Develop multi-step agent workflows with prompt orchestration and state handling; Build hybrid retrieval systems (RAG pipelines, knowledge graphs) grounded in hardware specs; Develop closed-loop automation for EDA tool outputs and compiler errors; Maintain secure, low-latency infrastructure integrating LLMs with external tools; Partner with IP/Subsystem teams to integrate AI workflows; Establish evaluation frameworks for AI-generated outputs regarding PPA targets
