Micron Technology Logo

Micron Technology

Intern - Yield Enhancement, Data Analysis

Reposted 2 Hours Ago
Be an Early Applicant
In-Office
Boise, ID
Internship
In-Office
Boise, ID
Internship
Semiconductor yield analysis internship focused on reviewing experimental data, identifying device performance shifts and process anomalies, improving measurement accuracy, and using inline data and machine learning to predict cell performance. The intern will collaborate with process integration, process engineering, and data science teams while developing root-cause analysis, process improvement, and technical communication skills.
The summary above was generated by AI
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As Data Analysis Engineering Intern at Micron, you will learn about the exciting field of semiconductor failure analysis, using state of the art solutions to improve next generation memory solutions. The goal of this internship is to accelerate the cell cycles of learning by developing inline prediction to end of line cell performance using machine learning. We need engineers who are passionate about detecting problems and making changes for the better, and seek out innovative ways in how predict what will happen.
We will assign you project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of cell performance. Through this project we will provide the opportunity for you to collaborate with others from process integration, process engineering and data science. At the end of the period, we want you to have a deep understanding of the processes, device operation, and measurement strategies used in today's semiconductor yield analysis department.
Responsibilities:
  • Review and analyze experimental data looking for device performance shift
  • Possess a continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and make a difference today!
  • Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!"
  • Use the data collected inline to drive process improvements
  • Work with new detection tools and inspection strategies to localize and identify process issues with the mentality of "how can this improve this process?"
  • Build and improve upon techniques and identify new creative and innovative ways to use existing tools in order to identify relevant process issues
  • We expect active participation in technical meetings to identify new opportunities or novel sophisticated approaches

Minimum Qualifications:
  • Pursuing a Master or PhD Degree in Electrical Engineering, Material Science or related field.
  • Graduation date should not be prior to September 2027
  • We need an intern drawn to creative problem solving and innovative solutions, especially in Leveraging Artificial Intelligence to drive insight into yield opportunities

Preferred Qualifications:
  • Proactive and passionate about learning (training and coursework)
  • We need someone who will investigating process anomalies, root cause analysis, data manipulation, and correlations
  • The shown ability to innovate and drive effective change in an energizing environment
  • Excellent technical, communication, and analytical skills

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at [email protected] or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Similar Jobs at Micron Technology

2 Hours Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead cross-functional Front End semiconductor manufacturing initiatives focused on cost reduction, productivity, factory output, and operational efficiency. Define program scope, timelines, resources, dependencies, and metrics; manage risks and roadblocks; improve business processes and reporting; and communicate results to senior leaders. Apply data analytics, AI, automation, and digital solutions to deliver measurable manufacturing and business improvements.
Top Skills: Artificial IntelligenceAutomation ToolsDashboardsData AnalyticsFront End Semiconductor ManufacturingReporting ToolsSemiconductor Manufacturing
2 Hours Ago
In-Office
Internship
Internship
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Internship focused on developing semiconductor metrology processes and measurement technologies. Responsibilities include designing and running cleanroom experiments, analyzing semiconductor metrology data with Excel and JMP, evaluating new tools, optimizing measurements with process engineers, and supporting next-generation technology development and fab transfers. The role also applies data science, AI, and machine learning to metrology analysis and workflow improvement.
Top Skills: Artificial IntelligenceCC++CdsemCleanroom ExperimentationCvdDiffusionDramElectrical MetrologyEtchingExcelFibInstrumentation And CalibrationJmpLithographyMachine LearningMatlabNandOptical MetrologyOverlay/RegistrationProfiling/TopographyPythonScatterometrySemiconductor ProcessingThin-Film MetrologyX-Ray Metrology
2 Hours Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead AI-driven smart manufacturing solutions across semiconductor operations, improving yield, quality, test coverage, and performance. Partner with engineering, quality, data science, machine learning, architecture, and data engineering teams to identify opportunities, define requirements, prioritize solutions, and deliver end-to-end projects. Manage Agile product development, establish success metrics, quantify business value and ROI, and drive digital transformation through production deployment.
Top Skills: Artificial IntelligenceCloud TechnologiesConfluenceData ScienceDramHbmJIRAMachine LearningMachine Learning OperationsNandSmart Manufacturing

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account