3182 Qa Engineering jobs in Tennessee

Jobcase

QA Tester

United IT

Memphis, TN 38103

Jobcase

QA Tester - Nashville, TN

Staffing

Nashville, TN 37201

Jobcase

QA/QC Technician

United Trades of America

Chattanooga, TN 37402

Manufacturing Engineer

SNAP-ON

Elizabethton, TN 37643

Onsite

BS/MS in Engineering Discipline
3+ years of experience as a hands-on mechanical/manufacturing engineer working in a manufacturing environment
2-4 years of experience in CNC machining, CNC programming and cutting tool selection
Experience with the selection of machining equipment
Proficiency designing mechanical equipment, fixturing and tooling in CAD (Catia preferred, SolidWorks is also a plus)
Proven Experience in a fast-paced manufacturing environment
Experience in CNC metal machining processes using CNC vertical machining centers and CNC lathes
Able to work under pressure while managing competing demands and tight deadlines
Exemplary verbal and written communication skills
Well organized with meticulous attention to detail
Mastery of Word, Excel, PowerPoint, MS Project
Design of manufacturing processes.
Specification development for manufacturing equipment.
Close collaboration with external equipment suppliers on equipment design.
Management of external equipment suppliers from equipment development through buyoff.
Validation and characterization of new equipment and fixtures for introduction to the production floor.
Partner with maintenance in root cause analysis of down equipment. Develop and implement changes to mitigate repetitive downtime.
Partner with internal resources for in-house machinery upgrades and rebuilds.
Understand usage and implementation of robots (Fanuc preferred). Use knowledge to identify areas where automation can be utilized to achieve increased productivity.
Development of new manufacturing processes.
Creation of detailed Manufacturing Instructions to define new processes and document new equipment operation.
Training of technicians and line operators on manufacturing processes.
Design of production workstations for ergonomics and efficiency.
Performance of process analysis and capacity modeling.
Deployment of statistical control for key processes.