Best NanoTech
Website:
bestpeo.com
Company:
https://www.linkedin.com/company/best-nanotech
Industries: Semiconductor Manufacturing
Job details:
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
#LI-SD1
Click on Apply to know more.