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 AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI AgentsPrompt EngineeringAgentic AIFine-TuningEmbedding ModelsVector DatabasesKnowledge GraphsProduct Engineering Product ArchitectureProduct Lifecycle ManagementSaaS PlatformsEnterprise ApplicationsAgile DevelopmentProduct RoadmapProduct AnalyticsAPI DesignMicroservicesDevOpsSemiconductor Platforms Engineering Productivity PlatformsSemiconductor Design AutomationEDA IntegrationManufacturing AnalyticsEngineering Knowledge SystemsDesign CollaborationYield AnalyticsDigital EngineeringSmart ManufacturingProgramming PythonJavaC++JavaScript / TypeScriptSQLREST APIsGraphQLGitAI Frameworks LangChainLlamaIndexHugging FaceOpenAI APIsNVIDIA NeMo / NIMCrewAIAutoGenMLflowCloud & Infrastructure AWSMicrosoft AzureGoogle Cloud PlatformKubernetesDockerDatabricksSnowflakeApache SparkKafkaSoftware Development CI/CDKubernetesDockerMLOpsLLMOpsFeature StoresModel MonitoringSecurityAuthenticationObservability #LI-SD1 .