Principal Engineer, Agentic AI (CAD/EDA)

Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Software Engineering

In short

Synopsys is seeking a Principal Engineer, Agentic AI (CAD/EDA) to architect and build AI-powered CAD infrastructure for Silicon IP development. This role involves creating autonomous agents and integrating them into design and verification workflows to enhance engineering productivity and accelerate time-to-market. You will work at the intersection of advanced IP design and AI-driven automation, shaping the future of CAD at Synopsys.

Responsibilities

Architect and define next-generation AI-powered CAD infrastructure for Silicon IP development.
Build and integrate autonomous agents into core design and verification workflows.
Deploy and operationalize Synopsys' global Agentic AI platform into the SLM IP development loop.
Design multi-agent workflows to automate IP design tasks, verification loops, and lifecycle analytics.
Partner with IP design teams, CAD engineers, and global AI platform teams.
Build and maintain the infrastructure layer connecting silicon design phases with AI-driven automation.
Prototype, test, and validate new AI-CAD integrations in live development environments.
Drive technical strategy and roadmap for AI-augmented CAD systems within SLM.
Provide technical leadership and mentorship to the team.

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, VLSI, Electrical Engineering, or a related field.
12+ years of hands-on experience developing and deploying advanced CAD flows and infrastructure in silicon design environments.
Proven experience implementing Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI), LLM orchestrations, or autonomous software agent systems in production.
Mastery of Python and C++ for building production-grade infrastructure.
Strong proficiency in EDA scripting languages (Tcl, Perl, Shell).
Track record of building agents and orchestration layers that interact with design, verification, synthesis, PnR, and timing flows.

Desired Qualifications

Technical understanding of silicon design phases, particularly IP development, verification, and lifecycle management workflows.
Experience with Silicon Lifecycle Management concepts (e.g., in-chip sensing, telemetry, analytics) is a strong plus.
Ability to translate cutting-edge AI technologies into concrete engineering solutions.
Comfort operating in ambiguity and integrating new technologies into established environments.
Systems thinking approach to understanding CAD flow interdependencies.
Proactive approach to asking questions, aligning stakeholders, and finding paths forward.

Benefits

Comprehensive range of health, wellness, and financial benefits.
Total rewards include both monetary and non-monetary offerings.
Salary range and benefits details provided by recruiter.

Skills

PythonC++TclPerlShellLangGraphAutoGenCrewAI

#AI#Agentic AI#CAD#EDA#Silicon Lifecycle Management#IP Development#AI Infrastructure#Autonomous Agents#LLM Orchestration#Design Automation#Verification Automation

About Synopsys Inc

Smart, Secure Everything—From Silicon to Software Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure. Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at…

See all open jobs at Synopsys Inc Read more about Synopsys Inc Website