Job Description SummaryThe Statistical Process Control Quality Engineer uses statistical tool (such as SPC) and data analysis techniques, combined with routine auditing of key process parameters, to evaluate and improve upon process capability. Provide the team with tools to minimize variation and waste. Develop process for establishing standards to implement SPC on the shop floor. Work in conjunction with inspection technology teams to ensure quality of data meets site standards. Requires developing a strong foundation of functional skills and knowledge of relevant technologies.Job Description
Essential Responsibilities
The Process Quality Engineer will:
- Advance SPC implementation at point of use. Develop procedures/methods to analyze data, evaluating machine/process capability and identify opportunities.
- Work pro-actively to prevent non-conformances and reduce product variation through standard measurement plans, implementation of advanced gaging and sampling methodology. Evaluate effectiveness via statistical analysis.
- Identify and pursue new gaging and inspection strategies, improving inspection efficiency and throughput.
- Support root cause investigations on any internal or external non-conformances. This may include 5 Why, PFMEA, or other similar methodologies to find the true root cause of problem.
- Work with Manufacturing Engineers, Team Leaders, and Business units to implement effective corrective actions addressing process deficiencies.
- Troubleshoot and provide support to provide QC-Calc at point of generation to provide the shop data to reduce defects.
- Strong understanding of QMS AS9100D or similar
- Work together with Rutland team across all levels of the organization
Qualifications/Requirements
- Bachelors degree from an accredited university or college (Or a high school diploma / GED with a minimum of 4 years of experience in Manufacturing)
- 3 years of Manufacturing experience
ELIGIBILITY REQUIREMENT(S):
- Ability / Flexibility to work varied shifts to support 3-shift operation
Desired Characteristics
- Humble: respectful, receptive, agile, eager to learn
- Transparent: shares critical information, speaks with candor, contributes constructively
- Focused: quick learner, strategically prioritizes work, committed
- Leadership ability: strong communicator, decision-maker, collaborative
- Problem solver: analytical-minded, challenges existing processes, critical thinker
- Previous experience with Six Sigma, Minitab and other statistical tools
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional Information
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal 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 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).
Relocation Assistance Provided: Yes
