AI Product Engineer – Semiconductor Platforms

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


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