Principal Engineer, Agentic AI (CAD/EDA)
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Data Science
In short
As a Principal Engineer, Agentic AI (CAD/EDA) at Synopsys in Bengaluru, India, you will architect and build the next generation of AI-powered CAD infrastructure for silicon IP development. You will leverage your decade of experience in CAD infrastructure and expertise in agentic AI frameworks to transform design and verification workflows, driving innovation from silicon to systems.
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.
- Build Agentic frameworks and Agents to improve Engineering productivity.
- Deploy and operationalize Synopsys' global Agentic AI platform into the SLM IP development loop.
- Build orchestration layers connecting LLMs, agents, and EDA toolchains.
- 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 like Tcl, Perl, and 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 such as in-chip sensing, telemetry, and analytics.
- Ability to prototype fast and iterate based on real feedback.
- Comfortable operating in ambiguity, especially when integrating cutting-edge AI technologies into established silicon development environments.
- Systems thinking approach to understanding CAD flow ripple effects.
- Ability to ask the right questions, align stakeholders, and find a path forward without perfect documentation.
Benefits
- Comprehensive range of health, wellness, and financial benefits.
- Total rewards include both monetary and non-monetary offerings.
#AI#Agentic AI#CAD#EDA#Silicon Design#Infrastructure#LLM
Company
Synopsys Inc
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Executive
Locations
Bengaluru, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant