Industrial Engr Intern

118-WW TMG MFG OPS; South Portland (ME); On-site; USD 25,000 - 30,000; Full time

Job summary

118-WW TMG MFG OPS is seeking an Industrial Engineering Intern to help evaluate and support manufacturing operations. You will work side-by-side with experienced Industrial Engineers on 5S and Lean activities, and you will identify cycle-time improvements using Factory Physics theories and standard software to analyze performance gaps.

Responsibilities include capacity modeling, throughput analysis in the clean room, production scheduling, data collection and validation, automated data

Qualifications

• Currently pursuing a B.S. in Industrial Engineering, Systems Engineering, Manufacturing Engineering, or Operations Research.
• Minimum 3.0/4.0 GPA.
• Ability to work in clean room environment wearing smock.

Responsibilities

• Support FAB capacity modeling activities
• Assist equipment throughput analysis in clean room environment
• Participate in production scheduling and dispatching rules development
• 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

Skills

Analytical skills

Problem solving

Verbal communication

Written communication

Teamwork

Time management

Initiative

Adaptability

Education

B.S. in Industrial/Systems/Manufacturing Engineering

Job description

Change the world. Love your job.

About the job:

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.

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

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