Principal AI Flow Development Engineer

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are an accomplished AI engineer with a deep understanding of GenAI, RAG, and agentic AI systems. You enjoy architecting robust, production-ready solutions that streamline technical workflows and empower teams.

What You'll Be Doing:

Agent & Workflow Development
* Architect multi-agent systems and agentic workflows for IP R&D automation
* Design and implement AI copilots with tool use, planning, and memory capabilities
* Build prompt systems and orchestration logic for complex, multi-step tasks

RAG & Knowledge Systems
* Design retrieval pipelines for semiconductor IP documentation (specs, verification reports, design docs)
* Build ETL (Extract-Transform-Load) workflows for document parsing, chunking, and semantic enrichment
* Optimize retrieval quality through evaluation, reranking, and hybrid search strategies

Integration & Interoperability
* Implement MCP (Model Context Protocol) servers/clients for secure context sharing across enterprise tools
* Build A2A (Agent-to-Agent) integrations connecting AI services with existing IP development workflows
* Develop APIs enabling seamless interaction between agents and EDA (Electronic Design Automation) tools

Production & Reliability
* Establish evaluation frameworks: retrieval metrics, agent task success rates, output quality scoring
* Implement guardrails for output validation, hallucination detection, and domain accuracy
* Build observability infrastructure: tracing, token usage monitoring, latency tracking
* Optimize for cost/performance through caching, model routing, and token management

Collaboration
* Partner with IP designers and verification engineers to capture domain expertise
* Translating R&D workflow pain points into AI-powered solutions
* Document architecture, prompt strategies, and integration patterns for team scaling

The Impact You Will Have:
* Accelerate IP development cycles through intelligent automation
* Reduce manual effort via smart copilots and agentic workflows
* Enable data-driven decisions through AI-powered insights
* Improve accuracy and consistency across verification and documentation tasks

What You'll Need:
* 5+ years in software development with AI/ML focus
* Expertise in GenAI, RAG, and agentic AI systems
* Advanced Python proficiency (modularity, testing, documentation)
* Understanding of semiconductor IP development practices
* Experience with ETL pipelines, observability, and cloud deployment
* BS in Engineering, Computer Science, or related field

Nice to Have:
* Experience with agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or equivalent)
* Familiarity with MCP and A2A integration patterns