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

**Company**: Synopsys
**Location**: Bengaluru, Karnataka
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/bengaluru/cad-ai-architect-principal-engineer-solutions-engineering-soc-ip/44408/96459426960?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_91143b45-5f0

## Description

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

## Skills

### Required
- Python
- C++
- Tcl
- Perl
- Shell
- Agentic AI frameworks
- LLM orchestrations
- autonomous software agent systems
- EDA scripting languages

### Nice to have
- Silicon Lifecycle Management concepts
- in-chip sensing
- telemetry
- analytics

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/bengaluru/cad-ai-architect-principal-engineer-solutions-engineering-soc-ip/44408/96459426960?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)