Quality Engineer

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Production Management Full Time Regular INDIRECT Melbourne, FL, US

SMTC is hiring for a Quality Engineer!

SMTC Corporation was founded in 1985. SMTC is a mid-size provider of end-to-end electronics manufacturing services (EMS) including PCBA production, systems integration and comprehensive testing services, enclosure fabrication, as well as product design, sustaining engineering and supply chain management services. SMTC has facilities in the United States, Mexico, China and Canada. Services extend over the entire electronic product life cycle from the development and introduction of new products through to the growth, maturity and end-of-life phases.

• 401K with company match
• PTO, Paid Holidays
• Tuition Reimbursement
• Medical HRA Plan
• Short term/Long term Disability Insurance, etc.

The Quality Engineer is responsible for developing, implementing, maintaining, and continuously improving quality systems, processes, and methodologies that ensure products and manufacturing operations meet customer requirements, regulatory standards, and organizational quality objectives. This role serves as a key technical resource supporting product quality, process effectiveness, customer satisfaction, and continuous improvement initiatives throughout the product lifecycle.

Working cross-functionally with Engineering, Manufacturing, Supply Chain, Operations, and customers, the Quality Engineer leads quality planning, risk management, root cause analysis, corrective action activities, process validation efforts, and compliance initiatives within a high-reliability electronics manufacturing environment.

• Lead quality planning activities to ensure products, processes, and manufacturing operations comply with customer requirements, regulatory standards, and company quality objectives.
• Develop, maintain, and improve quality documentation including Control Plans, FMEAs, inspection plans, quality procedures, and related quality system documentation.
• Lead investigations involving customer complaints, quality escapes, nonconforming products, supplier quality issues, and manufacturing defects utilizing structured root cause analysis methodologies.
• Develop, implement, and verify corrective and preventive actions (CAPAs) to eliminate recurring quality issues and improve process performance.
• Analyze quality performance metrics, yield data, defect trends, customer scorecards, and operational KPIs to identify risks and improvement opportunities.
• Support New Product Introduction (NPI) activities including quality planning, risk assessments, process validation, product qualification, and manufacturing readiness reviews.
• Lead and support process validation, equipment qualification, measurement system analysis (MSA), and statistical studies to ensure process capability and product conformity.
• Collaborate with customers, suppliers, Engineering, Manufacturing, and Operations teams to resolve quality concerns and support program objectives.
• Support supplier quality activities including supplier corrective actions, quality issue resolution, supplier performance monitoring, and supplier audits as required.
• Support compliance with AS9100, ISO
  9001, ISO
  13485, customer requirements, and applicable regulatory standards through audits, assessments, and quality system activities.
• Lead continuous improvement initiatives utilizing Lean, Six Sigma, statistical analysis, and quality engineering methodologies to improve quality, reliability, and operational performance.
• Provide technical guidance regarding quality requirements, risk management activities, quality engineering tools, and continuous improvement methodologies.
• Quality Engineering: Ability to develop, implement, and improve quality systems, processes, and methodologies that support product and process quality.
• Problem Solving:Ability to lead root cause analysis, implement corrective and preventive actions (CAPA), and resolve complex quality issues.
• Risk Management: Ability to develop and maintain FMEAs, Control Plans, and other risk management tools that support product and process quality.
• Quality Data Analysis: Ability to analyze quality metrics, process capability, yield data, defect trends, and statistical information to support data-driven decisions.
• Process Validation:Ability to support process validation, equipment…