Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You have spent the better part of a decade building CAD infrastructure that has to hold up under real silicon development pressure, not just proof-of-concept demos or similar domains. You know that the difference between a flow that gets adopted and one that gets worked around is usually in the details no one else thought about. Lately, you have been watching the explosion of agentic AI and LLM orchestration, and instead of seeing hype, you see exactly how autonomous agents could transform the way IP gets designed, verified, and managed across its lifecycle.
You are someone who can sit with IP designers who need faster turnaround on design and verification and walk out with a multi-agent workflow spec that actually solves their problem. You do not wait for the AI platform team to tell you what is possible. You prototype, you integrate, you prove the concept, and then you scale it. You have strong opinions about what makes infrastructure scalable, and you are not afraid to push back when a proposed solution will not survive the challenges of a scalable production use.
At Synopsys, you will work at the center of Silicon Lifecycle Management (SLM) IP development in the AI Center of Excellence team, architecting AI Infrastructure, building Agents from scratch, leveraging when possible and customizing to the team needs. The problems are hard, the scale is real, and what you build will reshape how thousands of engineers work.
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Architect and define the next generation of AI-powered CAD infrastructure for Silicon IP development, building and integrating autonomous agents into core design and verification workflows
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Build Agentic frameworks and Agents to improve Engineering productivity of the organization
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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 across design, verification, synthesis, PnR, and timing
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Design multi-agent workflows that automate IP design tasks, verification loops, and lifecycle analytics, turning manual bottlenecks into autonomous, scalable processes
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Partner with IP design teams, CAD engineers, and global AI platform teams to align architecture with real engineering needs and deployment constraints
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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
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Prototype, test, and validate new AI-CAD integrations in live development environments, iterating based on feedback from design teams and measurable workflow improvements
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Drive technical strategy and roadmap for AI-augmented CAD systems within SLM, translating emerging AI capabilities into concrete engineering solutions
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Provide technical leadership and mentorship to the team, fostering best practices
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Enable IP design and verification teams to move faster by automating repetitive, high-friction tasks through intelligent agent-driven workflows
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Reduce time-to-market for SLM IP by building scalable CAD infrastructure that adapts to design complexity without linear increases in manual effort
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Set the technical foundation for how Synopsys integrates agentic AI into silicon development, influencing architecture decisions across the broader EDA organization
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Improve design quality and lifecycle visibility by embedding AI-driven analytics and telemetry into the core IP development flow
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Accelerate adoption of Synopsys' Agentic AI platform by proving its value in one of the most demanding, high-stakes engineering environments in the company
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Shape the future of CAD infrastructure at Synopsys, defining patterns and practices that will scale across multiple IP families and product lines
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Directly influence how thousands of engineers experience their daily workflows, making complex silicon development more efficient, predictable, and autonomous
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Bachelor's, Master's, or Ph.D. in Computer Science, VLSI, Electrical Engineering, or a related field
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12+ years of hands-on experience developing and deploying advanced CAD flows and infrastructure in silicon design environments
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Proven experience implementing Agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or equivalent platforms, LLM orchestrations, or autonomous software agent systems in production settings
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Mastery of Python and C++ for building production-grade infrastructure, plus strong proficiency in EDA scripting languages like Tcl, Perl, and Shell
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Track record of building agents and orchestration layers that interact with design, verification, synthesis, PnR, and timing flows
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Technical understanding of silicon design phases, particularly IP development, verification, and lifecycle management workflows, is a plus
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Experience with Silicon Lifecycle Management concepts such as in-chip sensing, telemetry, and analytics is a strong plus
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You can walk into a room full of IP designers talking about verification bottlenecks and walk out with a clear architecture for an agent-driven solution that actually fits their workflow
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You prototype fast and iterate based on real feedback, not theoretical requirements, and you know the difference between a demo that impresses and a system that ships
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You have a point of view on what makes CAD infrastructure scalable and maintainable, and you are comfortable defending that view with technical depth and real-world examples
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You are comfortable operating in ambiguity, especially when integrating cutting-edge AI technologies into established silicon development environments where stability and correctness are non-negotiable
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You think in systems, understanding how changes in one part of the CAD flow ripple through design, verification, and downstream lifecycle analytics
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You do not need perfect documentation or fully baked requirements to get started, you ask the right questions, align stakeholders, and find a path forward
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 engineer 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. This is a Principal Individual Contributor role with significant technical leadership responsibilities across multiple globally distributed engineering teams. This role may evolve into leading a small team of AI infrastructure engineers as adoption scales.
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.
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At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
