Intern - Process & Equipment Engineering

Micron Technology
Singapore
Workplace: OnsiteInternshipFunction: Communications, PR & CommunitySkills: ["Analytical thinking","Problem-solving","Collaboration","Communication"]

Develop and validate an AI-enabled solution for process and equipment engineering in a semiconductor manufacturing environment. You’ll study an engineering use case, explore relevant datasets, and design an application or digital workflow using machine learning and Generative AI/LLMs to improve accessibility, analysis, and decision-making. Present your approach, testing/validation results, and potential impact on yield, quality, cost, productivity, or cycle time while collaborating with engineering experts.

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FursaFursa
Micron Technology
Micron Technology
1 week ago

Intern - Process & Equipment Engineering

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop and validate an AI-enabled solution for process and equipment engineering in a semiconductor manufacturing environment. You’ll study an engineering use case, explore relevant datasets, and design an application or digital workflow using machine learning and Generative AI/LLMs to improve accessibility, analysis, and decision-making. Present your approach, testing/validation results, and potential impact on yield, quality, cost, productivity, or cycle time while collaborating with engineering experts.
Location: Singapore
Workplace: Onsite
Employment Type: Internship · 5 months
Job Function: Communications, PR & Community
Seniority: Intern level

Key Responsibilities

  • •Identify an AI-enabled improvement use case across process or equipment engineering and define technical/engineering evaluation criteria
  • •Explore relevant manufacturing/process/equipment/engineering datasets and select suitable analytical approaches
  • •Design and develop an AI-enabled application, agentic solution, analytical model, or automated digital workflow
  • •Apply statistical analysis, machine learning, Generative AI/LLMs, data visualization, and workflow automation to solve the selected problem
  • •Test, validate, document, and present the solution, including methodology, findings, limitations, and potential engineering value

Key Requirements

  • •Currently pursuing a degree (engineering, computer science, data science, mathematics, physics, or related technical discipline)
  • •Familiarity with data analysis and statistics, and programming using Python, Structured Query Language (SQL), R, or equivalent tools
  • •Familiarity with Artificial Intelligence, machine learning, Generative AI, AI Assistants, or other AI-enabled workflows
  • •Strong analytical and problem-solving skills to translate engineering challenges into structured technical solutions
  • •Ability to collaborate with interdisciplinary engineering teams and communicate technical findings clearly
Experience:Semiconductor manufacturingEngineering analytics
Skills:Analytical thinkingProblem-solvingCollaborationCommunication
Tech Stack:PythonSQLRArtificial IntelligenceMachine learningGenerative AIAI AssistantsLarge language modelsData visualizationWorkflow automationStatistical analysis

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
WebsiteLinkedIn