AI Design Automation Engineer

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 recommend innovative solutions for semiconductor design automation.
Document AI models, workflows, and deployment methodologies while supporting production implementation.
Required Qualifications
Bachelor's or Master's degree in Electronics, Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence, or related discipline.
5 -12 years of experience in semiconductor design, CAD, EDA, or AI engineering.
Strong understanding of digital IC design and semiconductor development lifecycle.
Experience in AI/ML applications within engineering or semiconductor environments is preferred.
Excellent analytical, programming, and problem-solving skills.
Technical Skills Semiconductor Design
RTL Design
ASIC Design Flow
Physical Design
Design Verification
DFT
Synthesis
Static Timing Analysis (STA)
Low Power Design
CDC / RDC
Lint
ECO
PPA Optimization
AI & Machine Learning
Machine Learning
Deep Learning
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
AI Agents
Knowledge Graphs
Vector Databases
Programming & Development
Python
C++
SQL
Linux
Shell Scripting
Git
REST APIs
AI Frameworks
PyTorch
TensorFlow
LangChain
Hugging Face
OpenAI APIs
NVIDIA NIM / NeMo (preferred)
Cloud & Infrastructure
AWS
Azure
Google Cloud Platform
Docker
Kubernetes
EDA Tools (Preferred)
Cadence Innovus
Cadence Genus
Synopsys ICC2
Synopsys Design Compiler
PrimeTime
Siemens EDA
Verdi
SpyGlass


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