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-performan
ce 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-rea
dy 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-Trans
form-Load) workflows for document parsing, chunking, and semantic enrichment
- Optimize retrieval quality through evaluation, reranking, and hybrid search strategies
Integration &
Interoperabili
ty
- Implement MCP (Model Context Protocol)
servers/client
s for secure context sharing across enterprise tools
(Agent-to-Agen
t) 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 i
nfrastructure:
tracing, token usage monitoring, latency tracking
cost/performan
ce 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
- Background in EDA tool integration
Who You Are:
problem-solvin
g with AI
cross-function
al collaboration skills
- Ability to translate technical concepts for diverse audiences
- S
elf-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.
