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Quality Engineer

Ametek Inc/

Whitsett, NC · Posted October 30, 2026

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This listing does not state pay. Across 137 open quality engineer listings that state pay, the middle half runs $85,000 to $110,000 and the median is $97,500.

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AI use among industrial engineers is little observed so far. Measured exposure for industrial engineers: 4% (little observed).

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Ametek Inc/ has filed one layoff notice in the last twelve months, covering 63 workers, most recently September 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

Skills this job asks for

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  • Lean
  • ERP
  • Six Sigma

About the job

The Quality Engineer is responsible for assisting in and directing the investigation and resolution of quality-related supplier, production, manufacturing, and design-related problems, and acts as the customer’s advocate when customers have detected quality problems. May be assigned to the specific product line(s) for focused product and project support.

What you will do:

Respond to day-to-day design, production, and customer quality issues related to production lines

Resolve production problems associated with process, part, and design issue

Determine quality improvement parameters relevant to manufacturing processes

Maintain statistical process controls by applying demerit/unit, zone charting, x2 charts for distributions, and individual-medial/range for multi-stream processes

Analyze data by completing hypothesis, normal distribution, and process capability analysis tests

Prepare reports by collecting, analyzing, and summarizing data, making recommendations

Contribute to team effort by accomplishing related results as needed

Interface with all aspects of Purchasing, Manufacturing Engineering, Product and Sustaining Engineering, and Production Inventory Control in the performance of their assigned tasks

Monitor self-release of products, first article, and PPAP preparation

Review manufacturing instructions for completeness, correctness, and comprehension by assembly personnel. Audits processes performed by assembly personnel relative to methods, tools, and ability to follow manufacturing instructions

Responsible for the internal and external supplier audits and corrective action system including compliance verifications, documentation, and follow-up

Assist in ensuring quality assurance specifications are met by engineering, manufacturing, and other involved functions

Intervene on behalf of the customer to ensure their ultimate satisfaction with quality issues

Maintain records of investigation and resolution in accordance with procedures

Assist with the application and monitoring of established inspection procedures and methods

Utilize MRP/ERP software for data collection and incident resolution

Assist in the maintenance of the quality system as directed by the Quality Manager

Review, support, and complete RMA’s, including root cause analysis, developing corrective action, and turnaround in an efficient and timely manner

What we are looking for:

Bachelor’s degree in a related engineering field (ME, EE, IE) preferred

At least 5 years of experience in a manufacturing environment is required; experience with electromechanical devices a strong plus

Experience working in a machine shop enviroment is required

Ability to effectively communicate technical concepts, problems, and ideas to various levels within the organization

Proficiency in reading and understanding various technical documents such as blueprints, material specification sheets, etc.

Knowledge of ISO standards required

Broad knowledge of materials and material evaluation required

Working knowledge of Lean and Six Sigma tools – DMAIC problem solving, PPAP, DFMEA, DOE, SPC, GR&R, CPk, APQP, etc.

Competency using simple and complex measurement instruments (e.g. CMM, drop gauge, force gauge, calipers, and indicators) required

Demonstrated ability and willingess to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.

Working knowledge of common industry specifications, standards, and handbooks

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