• Conduct exploratory studies and analysis to identify assembly processes to meet product requirements, identify critical process parameters and quality attributes, and conduct experiments usingDesign of Experiments (DOE) methods to determine sensitivity and acceptable process windows
• Develop cause and effect analysis, Process Failure Mode Effects Analysis (PFMEA) and control plan
• Troubleshoot and identify corrective measureto scrap and yield related fallout. These problems could range in root cause including but not limited to mechanical, electrical, thermal, optical issues
• Conduct Install/qualification of tools including Measurement Systems Analysis (MCA), Gauge Repeatability and Reproducibility (GRR), Process Stability and Capability (CP/CPK), and equipment/process matching
• Support execution of statistical process controls (SPC) and create standard operation and maintenance procedures to support the transition to sustainable production
• Execute data driven root cause analysis as part of reject validation and excursion investigations, drive continuous improvement & optimization activities to meet production targets includingavailability, quality, and performance

• Bachelor's Degree in Engineering, Mathematics, Physical Science or other applicable degree (advanced degree preferred) or evidence of exceptional ability, or equivalent
• Minimum of 2 years' experience in a high-volume manufacturing environment
• Experience with Printed Circuit Board Assembly (PCBA), highly preferred
• Experience developing and taking new manufacturing processes and equipment from the prototype stage through high volume production
• Strong working knowledge of Statistical Analysis, Design of Experiments (DOE), Gauge Repeatability and Reproducibility (GRR), Failure Mode Effects Analysis (FMEA), Statistical Process Control (SPC) and other Six Sigma Tools
• Clear understanding of manufacturing production metrics, field data, and quality and reliability data
• Able to work under pressure while managing competing demands and tight deadlines of multiple simultaneous projects and challenges
• Hands-on skills with diagnostics software, hardware, tools, instruments, general electromechanical systems and measurement techniques, and multimeters

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