Quality Control Engineering Intern

JOB DESCRIPTION

As a Quality Control Intern for Arconic in Cranberry Township, you will be a part of a large Quality Control Team helping support one of Arconic’s largest aluminum extrusion facilities. Working closely with the Quality Engineer, Quality Manager and the Quality Team, the Quality Intern will help support the various efforts that drive our high standards of quality for our products made at the Cranberry Facility.

This internship offers immersive, hands‑on experience in statistical methods, process optimization, and problem solving. A significant portion of your work will involve learning manufacturing processes, working with operators and engineers, and translating findings into actionable improvements.

RESPONSIBILITIES

• Assist in gathering, organizing, and preparing production and quality data

for engineering analysis.

• Use and apply statistical process control and analytical techniques to assess

process reliability and identify potential quality leaks.

• Use engineering problem‑solving tools such as cause‑and‑effect diagrams,

5‑Why analysis, fishbone diagrams, and correlation‑based exploratory methods.

• Apply predictive or inferential techniques to support data‑driven decision

making.

• Participate in Gemba floor engagements to validate technical conclusions with

real process behavior and safety practices.

• Support the creation or improvement of data visualization and reporting tools

that enhance continuous improvement and engineering decisions.

QUALIFICATIONS

Basic Qualifications

• Must be enrolled in an accredited institution pursuing a bachelor’s degree in

engineering, operations, or a related technical field.

• Employees must be legally authorized to work in the United States.

Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications

• Experience with precision measurement tools (micrometers, calipers, height

gauges).

• Familiarity with SPC, basic statistical methods, or data‑driven quality

techniques.

• Proficiency in Microsoft Office and analytical tools such as Minitab or Power

BI.

• Workflow development, creating SWI, SOP and other technical documentation.

• Ability to interpret mechanical and test data, including PSI, force, and

dimensional measurements.