QC Inspector II

Arthrex, Inc.•Santa Barbara, CA

69d•Onsite

About The Position

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Arthrex is actively searching for a QC Inspector II who performs a variety of quality control test and inspection functions on materials, components and finished goods at various stages of the production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products. Join our talented team at a global medical device company focused on Helping Surgeons Treat Their Patients Better.

Requirements

High School diploma or equivalent required
1 years of QC or related industry experience required
Ability to interpret and understand engineering prints and the ability to use measuring tools and devices.
Must have mechanical aptitude and be detail oriented.

Responsibilities

Performs and documents dimensional inspections on inventory parts using engineering prints, Inspection procedures or work instructions.
Selects products for tests at specified stages in production process, and tests products for variety of qualities, such as dimensions, performance, and mechanical, electrical, or chemical characteristics.
Records test data, applying statistical quality control procedures.
May perform, as needed, nondestructive tests on materials, parts, or products to measure performance, life, or material characteristics.
May specialize in particular area of quality control such as incoming material, process control, product evaluation, and final inspection.
Detects nonconformances during production operations effectively.
May prepare graphs or charts of data or enter data into computer for analysis.
May perform quality control equipment calibrations and records the data as required.
Generates nonconformance reports as required and follows Inspection procedures.
Recommends modifications of existing quality or production standards to achieve optimum quality within limits of equipment capability.
Evaluates data to indicate deviations from existing standards.
Mostly works unsupervised.