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

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

Design and build GenAI-powered and agentic systems for semiconductor engineering workflows, turning complex manufacturing and validation data into actionable insights. Develop scalable data pipelines, advanced analytics, and LLM-based workflows (including RAG, benchmarking, and quality evaluation). Productionize machine learning models and support deployment, monitoring, and operational readiness in cloud environments while partnering cross-functionally across engineering, data science, IT, and manufacturing.

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FursaFursa
Micron Technology
Micron Technology
2 weeks ago

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

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Canonical indexed version, validated from employer's careers page.

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

Job Summary

Design and build GenAI-powered and agentic systems for semiconductor engineering workflows, turning complex manufacturing and validation data into actionable insights. Develop scalable data pipelines, advanced analytics, and LLM-based workflows (including RAG, benchmarking, and quality evaluation). Productionize machine learning models and support deployment, monitoring, and operational readiness in cloud environments while partnering cross-functionally across engineering, data science, IT, and manufacturing.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

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 manufacturing and engineering systems.
  • •Apply Python and SQL-based analytics and visualization (e.g., pandas, matplotlib) to generate visualizations and deliver actionable engineering insights.
  • •Build, evaluate, and optimize LLM-based workflows including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.
  • •Support production deployment, monitoring, and operationalization of AI/ML solutions in cloud and 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, with a foundation in data analytics and visualization using tools/libraries such as pandas, scikit-learn, matplotlib, or plotly.
  • •Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow.
  • •Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production; plus experience with LLM training/inference/evaluation workflows and working with large, heterogeneous datasets.
Experience:2+ yearsSemiconductorsElectronicsAI applicationsLLMsData analyticsMachine learningDeep learningCloudCloud data platforms
Education:Bachelor's
Skills:Analytical thinkingProblem-solvingCommunicationOwnershipAccountabilityEngineering rigor
Tech Stack:PythonSQLPandasMatplotlibScikit-learnPlotlyLangGraphGoogle ADKAutoGenAgentEvalClaude CodeRoo CodeCursorClineWindsurfGemini CLIPyTorchTensorFlowGCPAWS

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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Glassdoor: 3.7
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