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., Lang Chain, Llama Index, CrewAI, or equivalent)
• Familiarity with MCP and A2A integration patterns
• Background in EDA tool integration

Who You Are:

• Innovative problem-solving with AI
• Strong cross-functional collaboration skills
• Ability to translate technical concepts for diverse audiences
• Self-motivated, adaptable approach to continuous learning

The Team You’ll Be A Part Of:

Join an engineering team pioneering GenAI solutions for Digital Interface Controller IP, working closely with stakeholders to deliver transformative AI applications.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.