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Skills
Coachingunmatched
Data Analysisunmatched
Documentationunmatched
Documentation Standardsunmatched
Electrical Engineeringunmatched
Engineering Drawingunmatched
Manufacturingunmatched
Manufacturing Engineeringunmatched
Manufacturing Process Engineeringunmatched
Manufacturing Process Planningunmatched
Manufacturing/Industrial Processesunmatched
Mechanical Engineeringunmatched
Minitabunmatched
Operations Processesunmatched
Process Analysisunmatched
Process Capabilityunmatched
Process Control Engineeringunmatched
Process Failure Mode and Effects Analysis (PFMEA)unmatched
Process Flowunmatched
Process Improvementunmatched
Process Validationunmatched
Productivity Managementunmatched
Quality Engineeringunmatched
Root Cause Analysisunmatched
Statistical Process Controlunmatched
Statisticsunmatched
Surface Mount Technologyunmatched
Time Managementunmatched
Training/Teachingunmatched
Trend Analysisunmatched
Validation Planunmatched
Description
Qualifications:
Bachelor's degree in Manufacturing, Industrial, Mechanical, Electrical Engineering, Statistics, or related technical field
Must have SMT background (no exceptions)
4-6 years of experience in SPC, process control, quality engineering, or manufacturing engineering
Advanced knowledge of statistical process control and process capability analysis
Experience with SPC methodologies, control charts, and reaction planning
Proficiency with statistical analysis tools (e.g., Minitab, Excel)
Working knowledge of PFMEA, control plans, and process validation
Ability to read and interpret engineering drawings and manufacturing documentation
Experience in manufacturing environment required
Hands-on floor-based approach with strong operator coaching and training skills
Responsibilities:
Own and sustain defined manufacturing processes to ensure consistent execution across shifts and product lines, and establish, document, and maintain standard work, process flows, and operating parameters
Develop and maintain process control plans and reaction plans for critical manufacturing processes, define key process parameters (KPPs) and critical-to-quality (CTQ) characteristics, and use SPC to confirm stability and capability
Implement and sustain SPC methodologies to support early detection of variation, analyze SPC data to identify trends and special cause variation, and ensure results drive timely action
Lead root cause analysis related to process variation, defects, and escapes, and drive process improvements focused on variation reduction, yield improvement, and defect prevention
Maintain continuous on-floor presence on SMT production line to observe real-time execution, support operators, address process variation, and provide hands-on coaching and training