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Industrial Engineering Internship

Texas InstrumentsSouth Portland, ME

  • Internship
  • Full time

Overview

Job Description

As an Industrial Engineering Intern, you will help evaluate and support our manufacturing operations. You will work side-by-side with experienced Industrial Engineers and participate in 5S and Lean manufacturing activities. You will identify areas of improvement in cycle time using Factory Physics theories and use industry-standard software to analyze operational performance gaps and develop reports on your findings.

TI Industrial Engineers and Data Analytics Engineers are responsible for fab capacity and efficiency improvements. They use data science techniques to model factory performance and seek opportunities to optimize equipment and processes. They are the stewards of capacity, seeking to get more output from our wafer fab. Analyzing large data sets, writing database queries, creating scripts and programs to improve workflows, increase output, and automate tasks are all part of the job.

Responsibilities may include, but are not limited to:

  • Support FAB capacity modeling activities
  • Support equipment throughput analysis in clean room environment
  • Participate in production scheduling and dispatching rules development activities
  • Gather information required to understand capacity analysis and production impact
  • Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze throughput impact of various process requirements
  • Support automating data extraction and manufacturing processes
  • Extract and analyze large data sets
  • Work in teams and collaborate effectively with people in different functions
  • Basic coding opportunity to develop applications supporting manufacturing needs

Qualifications

Minimum Requirements:

  • Currently pursuing Bachelor of Science in Industrial Engineering, System Engineering, Manufacturing Engineering, Operations Research or related field
  • Minimum Cumulative 3.0/4.0 GPA
  • Ability to work in clean room environment wearing smock

Preferred Qualifications:

  • Demonstrated strong analytical and problem-solving skills
  • Strong verbal and written communication skills
  • Ability to work in teams and collaborate effectively with people in different functions
  • Strong time management skills that enable on-time project delivery
  • Demonstrated ability to build strong, influential relationships
  • Ability to work effectively in a fast-paced and rapidly changing environment
  • Ability to take the initiative and drive for results

About the Company

Why TI?

  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours.
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

Skills mentioned

  • SQL
  • Python
  • Data Analytics
  • Automation
  • Data Science
  • Lean Manufacturing
  • 5S
  • Factory Physics

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