CAD AI Infrastructure Engineers

We are looking for experienced Principal/Architect CAD Infrastructure Engineers for our Bangalore SLM IP team. Does this sound like a good role for you Qualifications Principal/Architect CAD - AI Infrastructure Engineers (Solutions Engineering) Experience: 9yrs to 15 years 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 environment Proven experience implementing Agentic AI frameworks, LLM orchestrations, or autonomous software agent systems in production setting Deep technical understanding of silicon design phases, particularly IP development, verification, and lifecycle management workflow 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 Job Responsibilities 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 Team Youll Be Part Of You will be part of the Silicon Lifecycle Management IP Development team in Bangalore, working at the intersection of advanced IP design and AI-driven automation. This team is responsible for building the infrastructure and workflows that power SLM IP development across Synopsys, and you will be the principal architect defining how agentic AI gets integrated into that foundation. You will collaborate closely with IP designers, CAD engineers, and Synopsys' global Agentic AI platform teams, bridging technical domains and driving alignment across a distributed, highly technical organization. Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, gender identity, age, military veteran status, or disability. We are looking for experienced Principal/Architect CAD Infrastructure Engineers for our Bangalore SLM IP team. Does this sound like a good role for you Qualifications Principal/Architect CAD - AI Infrastructure Engineers (Solutions Engineering) Experience: 9yrs to 15 years 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 environment Proven experience implementing Agentic AI frameworks, LLM orchestrations, or autonomous software agent systems in production setting Deep technical understanding of silicon design phases, particularly IP development, verification, and lifecycle management workflow 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 Job Responsibilities 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 aut