Principal Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 2+ yearsEducation: bachelorsSkills: ["Analytical","Problem-solving","Communication","Ownership","Engineering rigor"]

Build and scale GenAI/agentic and LLM-driven solutions for semiconductor engineering workflows within the HIG HBM Product Engineering org. Develop large-scale data pipelines for heterogeneous manufacturing and engineering datasets, and apply Python/SQL analytics for visualization and actionable insights. Engineer and productionize ML/DL models for prediction and failure analysis, support deployment and monitoring in cloud environments, and partner cross-functionally to improve quality, cost, cycle time, and engineering efficiency.

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FursaFursa
Micron Technology
Micron Technology
2 weeks ago

Principal Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and scale GenAI/agentic and LLM-driven solutions for semiconductor engineering workflows within the HIG HBM Product Engineering org. Develop large-scale data pipelines for heterogeneous manufacturing and engineering datasets, and apply Python/SQL analytics for visualization and actionable insights. Engineer and productionize ML/DL models for prediction and failure analysis, support deployment and monitoring in cloud environments, and partner cross-functionally to improve quality, cost, cycle time, and engineering efficiency.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, build, and improve GenAI-powered and agentic systems for semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.
  • •Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large heterogeneous datasets from multiple manufacturing and engineering systems.
  • •Apply Python/SQL and data science libraries to perform deep analysis, generate visualizations, and deliver actionable engineering insights.
  • •Build, evaluate, and optimize LLM-based workflows (prompting, RAG, inference orchestration, benchmarking, and quality evaluation) and machine learning models for classification, regression, anomaly detection, and failure analysis.
  • •Support deployment, monitoring, and operationalization of AI/ML solutions in cloud/enterprise environments while communicating outcomes to technical and non-technical stakeholders.

Key Requirements

  • •Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field.
  • •Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries.
  • •Strong programming proficiency in Python and SQL.
  • •Strong technical foundation in data analytics and visualization using tools and libraries such as pandas, scikit-learn, matplotlib, and plotly.
  • •Hands-on experience with LLM-based systems and workflows (including RAG/agentic workflows) and production deployment using frameworks such as PyTorch or TensorFlow.
Experience:2+ yearsSemiconductorsElectronicsEngineering industries
Education:Bachelor's
Skills:AnalyticalProblem-solvingCommunicationOwnershipEngineering rigor
Tech Stack:PythonSQLPandasScikit-learnMatplotlibPlotlyLangGraphGoogle ADKAutoGenAgentEvalClaude CodeRoo CodeCursorClineWindsurfGemini CLIPyTorchTensorFlowLLMsRAG

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
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