About this role
Role Purpose: As a Principal Engineer in the AI Center of Excellence team, you will architect and define the next generation of AI-powered CAD infrastructure for Silicon IP development. You will build and integrate autonomous agents into core design and verification workflows to improve engineering productivity and reshape how thousands of engineers work. Responsibilities: You will deploy and operationalize a global Agentic AI platform, build orchestration layers connecting LLMs and EDA toolchains, and design multi-agent workflows to automate IP design tasks and lifecycle analytics. You will partner with IP design and CAD teams to align architecture with real-world deployment constraints, prototype and validate integrations, and drive the technical strategy and roadmap for AI-augmented CAD systems. Qualifications: A Bachelor's, Master's, or Ph.D. in Computer Science, VLSI, Electrical Engineering, or a related field is required. You must have 12+ years of hands-on experience in developing and deploying advanced CAD flows and infrastructure in silicon design environments. Proficiency in Python, C++, and EDA scripting languages (Tcl, Perl, Shell) is mandatory. Proven experience implementing Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) or equivalent production-grade autonomous agent systems is required. Preferred Qualifications: Technical understanding of silicon design phases (IP development, verification, lifecycle management) and experience with Silicon Lifecycle Management concepts (in-chip sensing, telemetry, analytics) are considered strong pluses. Working Arrangement: This is a Principal Individual Contributor role based in Bengaluru, involving significant technical leadership across globally distributed teams. Benefits: Synopsys offers a comprehensive range of health, wellness, and financial benefits; specific salary details are provided by the recruiter during the hiring process.