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Senior Product Quality Engineer
| Company | RTX |
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| Location | Cedar Rapids, IA, USA |
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| Salary | $82000 – $164000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.
- 5+ years of experience in a product quality position.
- 3+ years of experience with AS9100, NADCAP, and aerospace regulatory requirements.
- 3+ Years of experience with root cause analysis, corrective action implementation, and quality system auditing.
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Responsibilities
- Support product and process quality engineering by establishing quality plans, root cause analysis, and driving corrective/preventive and improvement actions.
- Collaborate with manufacturing, engineering, and supply chain teams to enhance product quality and optimize processes.
- Facilitate internal and external audits, including regulatory and customer-specific quality audits, ensuring adherence to aerospace standards.
- Investigate non-conformances, deviations, and defects, implementing effective solutions to prevent recurrence.
- Provide leadership and mentoring in continuous improvement, lean manufacturing methodologies.
- Prepare and present quality reports, metrics, and KPIs to senior leadership and customers.
- Drive problem resolution through to completion for customer and internal escapes.
- Utilizes Advance Quality Planning techniques (PFMEA, MSA, Process Flow, 8-D and Control Plans, etc.) to identify risks and propose mitigation solutions.
- Participate in real-time problem resolution with production and Quality Clinic teams.
Preferred Qualifications
- ASQ Certified Quality Engineer (CQE) or Six Sigma certification is a plus.
- Knowledge of Six-Sigma tools and practices
- Proficiency in quality tools (e.g., FMEA, SPC, MSA, PPAP, 8D problem-solving, and Six Sigma).
- Data analytics skills with the ability to prepare, process, analyze, and visualize significant amounts of information from multiple data sources while keeping the big picture in mind.
- Detail-oriented and capable of managing multiple priorities in a fast-paced environment.
