AI Product Engineer – Semiconductor Platforms

Best NanoTech; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Best NanoTech in Bengaluru, India, is 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.

You will collaborate with Semiconductor Engineering, Product Management, AI/ML, Data Engineering, EDA, Manufacturing and Cloud Platform teams to deliver production-ready AI applications that automate workflows, improve efficiency, and

Qualifications

• Bachelor's or Master's in CS, Electronics, Electrical, AI or related field.
• 6–15 years of experience in Product/Software/Semiconductor engineering or AI platform development.
• Understanding of semiconductor workflows, EDA environments, or manufacturing systems.
• Strong software engineering and system architecture capabilities.

Responsibilities

• Design and develop AI-powered semiconductor engineering products from concept to deployment.
• Build Engineering Copilots supporting RTL Design, Physical Design, Verification, DFT and Yield Engineering.
• Develop AI applications using LLMs, RAG, AI Agents, Knowledge Graphs and enterprise AI tech.
• Collaborate with product managers to define vision, roadmap, and requirements.
• Create scalable cloud-native AI platforms for engineering productivity and analytics.
• Integrate AI products with EDA tools, MES, ERP, PLM and manufacturing systems.
• Design APIs and microservices for platform scalability and integration.
• Develop secure AI apps with RBAC, auditing and IP protection.

Skills

AI product development

Cloud-native engineering

Semiconductor domain knowledge

System architecture

Education

Bachelor's or Master's in CS/EE/AI

Tools

EDA environments

MES/ERP systems

Job description

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.
• Understanding of semiconductor engineering workflows, EDA environments, or manufacturing systems.
• Strong software engineering and system architecture capabilities.