Saelens Corporation is a leading manufacturing organization specializing in precision machining and advanced automation solutions. They are seeking a detail-oriented and experienced Quality Engineering Technician to maintain high standards of quality across their automated CNC operations. The role involves inspecting machined parts, calibrating measurement tools, and ensuring compliance with engineering specifications and quality standards.
Responsibilities:
- Conduct first-piece, in-process, and final inspections on machined parts using precision measuring instruments such as calipers, micrometers, bore gauges, optical comparators, and CMMs
- Operate, calibrate, and maintain measurement tools to ensure accuracy and reliability in inspections
- Interpret complex engineering drawings and apply GD&T principles to verify part dimensions and tolerances
- Maintain comprehensive inspection records, prepare First Article Inspection (FAI) reports, and compile PPAP packages to support quality documentation requirements
- Identify, document, and quarantine defective materials, participating in Material Review Board (MRB) processes to facilitate corrective actions
- Collaborate with engineering and production teams to analyze root causes of defects and implement corrective and preventive actions (CAPA)
- Work closely with machinists and operators to resolve quality issues, ensure compliance with SOPs, and promote continuous improvement initiatives
Requirements:
- Minimum of a High School Diploma or GED
- 1-3 years of experience in quality control or inspection within a manufacturing environment, particularly metal machining or CNC operations
- Technical proficiency in blueprint reading, GD&T, and calibration of precision measurement instruments
- Demonstrate mechanical aptitude
- Problem-solving skills
- Ability to work effectively in a fast-paced environment
- Associate degree in a technical field such as machine tool technology, engineering technology, or quality assurance
- Knowledge of ISO 9001:2015, IATF 16949 standards, and statistical process control (SPC)