AI for RTL, Physical Design & Verification
Location:
Bangalore ,India (Onsite )

Employment Type:
Full time

Experience:
5 12 Years

Role Overview

We are looking for an
AI Design Automation Engineer
with strong expertise in semiconductor design flows and applied Artificial Intelligence to develop next-generation automation solutions for RTL design, Physical Design, Design Verification, DFT, and chip implementation. The role focuses on building AI-powered engineering tools that improve productivity, automate repetitive design tasks, optimize design quality, and accelerate semiconductor development cycles.

The ideal candidate should have hands-on experience in semiconductor design methodologies along with practical exposure to Machine Learning, Large Language Models (LLMs), Generative AI, or AI-assisted engineering workflows.

Key Responsibilities
- Develop AI-powered solutions to automate RTL design, Physical Design, Verification, and implementation workflows.




- Design intelligent automation frameworks for chip development using Machine Learning and Generative AI technologies.
- Build AI assistants to support RTL code generation, debugging, documentation, and design reviews.
- Develop AI models for timing analysis, floorplanning optimization, routing recommendations, ECO automation, and design closure.
- Integrate AI capabilities with leading EDA platforms including Cadence, Synopsys, and Siemens EDA.
- Create intelligent design knowledge systems using LLMs, Retrieval-Augmented Generation (RAG), and vector databases.
- Develop automation pipelines using Python, APIs, and cloud-based AI services.
- Analyze semiconductor design datasets to improve design quality, PPA optimization, and engineering productivity.
- Collaborate with RTL, Physical Design, Verification, DFT, CAD, and EDA engineering teams to identify automation opportunities.
- Build scalable AI applications for engineering workflow optimization and design analytics.
- Evaluate emerging AI technologies and

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