ASIC Gen-AI Data Scientist

Micron Technology
San Jose
Workplace: OnsiteFull timeUSD 145,000 - 336,000 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Technical communication","Cross-functional collaboration","Innovation leadership","Problem-solving"]

Build and improve GenAI-powered, agentic systems for ASIC semiconductor engineering workflows, including code generation, data extraction, analytics, documentation automation, failure triage, and root-cause analysis. Engineer LLM-based workflows (prompting, RAG/Graph-RAG, benchmarking, quality evaluation) and develop ML/deep learning models for classification, regression, and anomaly detection. Collaborate across system architecture, logic/analog design, data science, and IT to deploy, monitor, and operationalize AI/ML solutions in production.

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FursaFursa
Micron Technology
Micron Technology
1 week ago

ASIC Gen-AI Data Scientist

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Job Summary

Build and improve GenAI-powered, agentic systems for ASIC semiconductor engineering workflows, including code generation, data extraction, analytics, documentation automation, failure triage, and root-cause analysis. Engineer LLM-based workflows (prompting, RAG/Graph-RAG, benchmarking, quality evaluation) and develop ML/deep learning models for classification, regression, and anomaly detection. Collaborate across system architecture, logic/analog design, data science, and IT to deploy, monitor, and operationalize AI/ML solutions in production.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and improve GenAI-powered and agentic systems for ASIC engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.
  • •Build, evaluate, and optimize LLM-based workflows including prompting, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
  • •Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
  • •Collaborate with cross-functional domain experts to translate engineering problems into scalable AI/ML and analytics solutions.
  • •Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.

Pay and Benefits

Salary: USD 145,000 - 336,000 annually
Perks:Health InsuranceDentalVisionPaid Leave

Key Requirements

  • •Bachelor’s with 10+ years or Master’s with 8+ years in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field.
  • •4+ years hands-on developing and deploying AI applications in semiconductors, electronics, or other engineering industries.
  • •Strong programming proficiency in Python.
  • •Familiarity with modern AI coding tools/agentic coding harnesses such as Claude Code, Cursor, Gemini CLI, or similar tools.
  • •Practical experience building AI/ML systems involving LLMs, including RAG, agentic workflows, and relevant frameworks.
Experience:10+ yearsSemiconductorsElectronicsMachine learningDeep learningLLMsGenAI
Education:Bachelor's in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field
Skills:Technical communicationCross-functional collaborationInnovation leadershipProblem-solving
Tech Stack:PythonClaude CodeCursorGemini CLILLMRAGGraph-RAGMachine learningDeep learningGCPAWSAzurePandasScikit-learnMatplotlibPlotlyJavaScriptHTMLCSS

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
Glassdoor
Glassdoor: 3.7
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