Best NanoTech
Website:
bestpeo.com
Company:
https://www.linkedin.com/company/best-nanotech
Seniority: Mid-Senior level
Industries: Semiconductor Manufacturing
Job details:
AI Product Engineer – Semiconductor Platforms
AI Product Engineer Semiconductor Platforms AI Products | Engineering Platforms | Semiconductor Digital Transformation
Location: Bengaluru / Hyderabad / Pune / Noida, India
Work Mode: Onsite
Experience: 6- 15 Years
Industry: Semiconductor | Artificial Intelligence | Product Engineering | Enterprise Platforms
Role Overview
We are seeking an experienced AI Product Engineer Semiconductor Platforms to design, develop, and scale AI-powered software products that accelerate semiconductor engineering, manufacturing, verification, and enterprise productivity.
This role combines product engineering, semiconductor domain expertise, artificial intelligence, cloud-native application development, and platform engineering to build intelligent solutions including Engineering Copilots, AI Design Assistants, Manufacturing Assistants, Yield Analytics Platforms, Knowledge Management Systems, and Engineering Productivity tools.
The successful candidate will collaborate with Semiconductor Engineering, Product Management, AI/ML, Data Engineering, EDA, Manufacturing, and Cloud Platform teams to deliver production-ready AI applications that improve engineering efficiency, automate repetitive workflows, and accelerate semiconductor innovation.
Key Responsibilities
- Design and develop AI-powered semiconductor engineering products from concept through production deployment.
- Build Engineering Copilots supporting RTL Design, Physical Design, Verification, DFT, Process Engineering, Yield Engineering, and Manufacturing operations.
- Develop AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Knowledge Graphs, and enterprise AI technologies.
- Collaborate with Product Managers to define product vision, roadmap, customer requirements, and feature prioritization.
- Build scalable cloud-native AI platforms supporting engineering productivity, manufacturing analytics, and semiconductor design automation.
- Integrate AI products with EDA tools, MES, ERP, PLM, engineering databases, manufacturing systems, and collaboration platforms.
- Design APIs and microservices supporting AI platform scalability and enterprise integration.
- Develop secure AI applications with role-based access, auditability, and IP protection.
- Optimize AI models for performance, latency, scalability, and production reliability.
- Work closely with AI Scientists, Software Engineers, Semiconductor Engineers, UX Designers, and Cloud Engineers.
- Define product architecture, technical documentation, deployment strategies, and release plans.
- Monitor product performance, user adoption, engineering productivity improvements, and customer feedback.
- Drive continuous product enhancement using analytics and customer insights.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Electronics Engineering, Electrical Engineering, Artificial Intelligence, Software Engineering, or a related discipline.
- 6 15 years of experience in Product Engineering, Software Engineering, Semiconductor Engineering, AI Platform Development, or Enterprise Applications.
- Experience delivering enterprise-scale software products.
- Understanding of semiconductor engineering workflows, EDA environments, or manufacturing systems.
- Strong software engineering and system architecture capabilities.
Technical Skills Artificial Intelligence
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Prompt Engineering
- Agentic AI
- Fine-Tuning
- Embedding Models
- Vector Databases
- Knowledge Graphs
Product Engineering
- Product Architecture
- Product Lifecycle Management
- SaaS Platforms
- Enterprise Applications
- Agile Development
- Product Roadmap
- Product Analytics
- API Design
- Microservices
- DevOps
Semiconductor Platforms
- Engineering Productivity Platforms
- Semiconductor Design Automation
- EDA Integration
- Manufacturing Analytics
- Engineering Knowledge Systems
- Design Collaboration
- Yield Analytics
- Digital Engineering
- Smart Manufacturing
Programming
- Python
- Java
- C++
- JavaScript / TypeScript
- SQL
- REST APIs
- GraphQL
- Git
AI Frameworks
- LangChain
- LlamaIndex
- Hugging Face
- OpenAI APIs
- NVIDIA NeMo / NIM
- CrewAI
- AutoGen
- MLflow
Cloud & Infrastructure
- AWS
- Microsoft Azure
- Google Cloud Platform
- Kubernetes
- Docker
- Databricks
- Snowflake
- Apache Spark
- Kafka
Software Development
- CI/CD
- Kubernetes
- Docker
- MLOps
- LLMOps
- Feature Stores
- Model Monitoring
- Security
- Authentication
- Observability
#LI-SD1
Click on Apply to know more.