Intern - Quality Engineering

Job description

What your day might look like

The Quality Engineering intern investigates field failures using customer data and returned parts As part of the Quality Engineering team, you will work with a cross-functional engineering team to learn testing and production processes and identity key process improvements You will compose failure analysis reports for internal and external failing components.

Key Responsibilities

In this role, your responsibilities will include (but are not limited to): Investigate field failures using customer data and returned parts. Test returned parts and collect data. Author Failure Analysis Reports for field failures. Identify upstream quality improvements and corrective actions for each report, via root cause analysis and CAPA exercises. Develop an understanding of testing and production processes and identify key process improvements Review internal failure modes with the production team to proactively identify areas for improvement and the potential to implement SPC (Statistical Process Control).

Perform failure analysis investigations on recurring failing materials in a manufacturing environment to help determine root cause. Perform QC testing on existing products or new products. Trend QC data and provide monthly updates on trends or unexpected results.

Qualifications

Our Ideal Candidate Currently enrolled in, or recently graduated from a Bachelor of Engineering degree in Chemical Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or other related technical discipline. Experience and/or coursework related to data analysis and data management. Strong written and verbal communication skills. Self-driven, creative problem solver, and adept at developing solutions in the face of conflicting requirements, business needs, and technical challenges.

Proficiency in utilizing various data sources and frequencies. Quality control testing of instruments and components Familiarity with process monitoring and control through Statistical Process Control (SPC).