CAD AI Architect/Principal Engineer (Solutions Engineering - SOC/IP)

You will work at the center of Silicon Lifecycle Management IP development, architecting AI-driven CAD systems using Synopsys' global Agentic AI platform.

The problems are hard, the scale is real, and what you build will reshape how thousands of engineer's works.

What You'll Be Doing

• Architect and define the next generation of AI-powered CAD infrastructure for Silicon Lifecycle Management IP development, integrating autonomous agents into core design and verification workflows
• Deploy and operationalize Synopsys' global Agentic AI platform directly into the SLM IP development loop, building orchestration layers that connect LLMs, agents, and EDA toolchains
• Design multi-agent workflows that automate IP design tasks, verification loops, and lifecycle analytics, turning manual bottlenecks into autonomous, scalable processes
• Partner with IP design teams, CAD engineers, and global AI platform teams to align architecture with real engineering needs and deployment constraints
• Build and maintain the infrastructure layer that connects silicon design phases with AI-driven automation, ensuring performance, reliability, and scalability across the full IP lifecycle
• Prototype, test, and validate new AI-CAD integrations in live development environments, iterating based on feedback from design teams and measurable workflow improvements
• Drive technical strategy and roadmap for AI-augmented CAD systems within SLM, translating emerging AI capabilities into concrete engineering solutions

The Impact You Will Have

• Enable IP design and verification teams to move faster by automating repetitive, high-friction tasks through intelligent agent-driven workflows
• Reduce time-to-market for SLM IP by building scalable CAD infrastructure that adapts to design complexity without linear increases in manual effort
• Set the technical foundation for how Synopsys integrates agentic AI into silicon development, influencing architecture decisions across the broader EDA organization
• Improve design quality and lifecycle visibility by embedding AI-driven analytics and telemetry into the core IP development flow
• Accelerate adoption of Synopsys' Agentic AI platform by proving its value in one of the most demanding, high-stakes engineering environments in the company
• Shape the future of CAD infrastructure at Synopsys, defining patterns and practices that will scale across multiple IP families and product lines
• Directly influence how thousands of engineers experience their daily workflows, making complex silicon development more efficient, predictable, and autonomous

What You'll Need

• Bachelor's, Master's, or Ph.D. in Computer Science, VLSI, Electrical Engineering, or a related field
• 8+ years of hands-on experience developing and deploying advanced CAD flows and infrastructure in silicon design environments
• Proven experience implementing Agentic AI frameworks, LLM orchestrations, or autonomous software agent systems in production settings
• Deep technical understanding of silicon design phases, particularly IP development, verification, and lifecycle management workflows
• Mastery of Python and C++ for building production-grade infrastructure, plus strong proficiency in EDA scripting languages like Tcl, Perl, and Shell
• Track record of architecting scalable systems that bridge EDA toolchains and modern software platforms, with real deployment outcomes you can point to
• Experience with Silicon Lifecycle Management concepts such as in-chip sensing, telemetry, and analytics is a strong plus