Industrial Engr Intern

Texas Instruments•South Portland, ME

10h•Onsite

About The Position

As an Industrial Engineering Intern, you will help to evaluate and support our manufacturing operations. This role will provide the ability to work side-by-side with high performing, experienced Industrial Engineers, and you will participate in 5S and Lean manufacturing activities. You will have the opportunity to identify areas of improvement in cycle time utilizing different Factory Physics theories and utilize multiple types of 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 utilize data science techniques to model the performance of the factory and seek opportunities to optimize our 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 for our Industrial Engineering and Data Analytics teams.

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

Nice To Haves

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

Responsibilities

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