Asheville Shotpeen Apprentice (2nd Shift)
Asheville, NC - USA
Job Summary
- Demonstrates initiative willingness to learn and strong attention to detail.
- Ability to begin reading and interpreting technical plans process sheets and work instructions.
- Familiarity with basic Lean principles and continuous improvement concepts.
- Ability to safely use basic hand tools.
- Ability to read understand and follow processes procedures and standard work instructions.
- Ability to perform visual inspection of parts for defects such as scratches or other surface imperfections and clean parts as required.
- Ability to successfully complete the initial shot peen practical certification.
- Ability to complete and pass the CVP. Ability to access review and understand relevant quality documentation and quality sheets.
- Ability to distinguish between conforming and nonconforming product based on defined requirements.
- Ability to assist with preventive maintenance checks on machines and equipment while understanding the associated process requirements.
- Basic understanding of saturation curves and their application within the process.
Can learn how to recognize common issues but rely closely on the guidance of team leads mentors or trainers to resolve problems.
Ability to learn how to understand and interpret relevant process sheets for machined parts production.
- Does not deviate from process sheet guidance for machined parts production.
- Defers to the team lead mentor or trainer with issues or challenges arise with parts production machinery tooling gauges or processes.
Understands the importance of quality but has limited role in ensuring standards are developed or measured properly.
Able to understand and learn how to inspect basic parts using the proper measuring devices.
- Able to understand and learn how to verify proper tooling to utilize based on the task at hand.
- Understand the importance of systematically following procedures to identify defects for produced parts machinery tools or measuring equipment.
- No formal supervisory responsibility expectations are required and primarily focuses on on-the-job learning within an assigned machined parts production work cell.
- Expected to learn and develop via mentors teammates and on-the-job training through repetition of machined parts production.
- Demonstrates effort and willingness to learn.
- Requires direct supervision by the team lead trainer or mentor along with detailed instructions for all machined parts production tasks.
- Does not work autonomously on machined parts production.
- Expected and able to follow step-by-step instructions and processes whether documented or from team lead mentor or trainer.
This role may encounter high risk or hazardous operations and/or include working shifts beyond a standard workweek. As such a requirement of the role is to be at least 18 years of age by the time of joining.
This role requires access to U.S. export-controlled information. Therefore employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident U.S. Citizen have been granted asylee or refugee status (i.e. a protected individual under the Immigration and Naturalization Act 8 U.S.C. 1324b(a)(3)).
GE Aerospace offers a great work environment professional development challenging careers and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: Yes
About Company
Airspace EfficiencyIncrease airspace efficiency with data-driven flight path design and airspace analytics