TAT Technologies Ltd
Machinist
Greensboro, North Carolina, United States
Sponsorship not specifiedDetected 8 days ago
Process ImprovementCollaboration
About the role
- We have an ambitious and fast-growing environment that believes in the power of team collaboration with the deep-rooted belief that there is no substitution to personal relationships and interactions.
Requirements
- These Machinists must have experience with Haas, Bridgeport, and Okuma CNC Machines while understanding how to operate older equipment.
- 1st shift, Monday - Thursday, 5:00am - 3:30pm Details of this position is described below: Requires knowledge of HAAS and Bridgeport CNC machining.
- Must be proficient in precise measurement and use of instruments such as micrometers, dial indicators, etc.
- Will be required to assist the Operations Manager in preventive maintenance of equipment in the department per company and equipment manufacturing guidelines.
- Must be familiar with or able to learn FAA requirements related to inspection and repair.
- In addition must be able to read and interpret OEM repair manual instructions.
- Must be willing to work in and learn lean/six sigma for continuous improvement initiatives.
- Experience with CNC and manual equipment preferred.
- Must be able to read blueprints and to use an assortment of measuring devices.
- Must be able to machine parts with tolerances as low as.0002." Basic computer skills required.
Skills
- TAT Technologies is looking for qualified Machinists.
Benefits
- Must be capable, or capable of learning to grind chrome and nickel under supervision and a structured training program.
- One way we value our team is by providing a comprehensive and expansive benefits offering to include Major Medical, Dental, Vision, Life, 401K with company matching, STD, LTD, accidental coverages, EAP, and more.
Apply directly at TAT Technologies Ltd →Create a free account for alerts like thisView TAT Technologies Ltd immigration profile
This listing is sourced directly from TAT Technologies Ltd's careers page and normalized into a canonical job model.