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
Translate 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
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.
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