• Conduct exploratory studies and analysis to identify assembly processes to meet product requirements
• Identify critical process parameters and quality attributes, and conduct experiments using Design 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 measures to critical equipment (mechanical, electrical, thermal, optical etc.) related problems
• 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
• Enable Statistical Process Control (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

• 2 years of experience developing and deploying assembly (e.g. fastening, dispense, pick and place, soldering, etc.) and/or test (e.g. electrical, optical inspection, etc.) processes through high-volume manufacturing
• Experience developing and taking new automated manufacturing processes and equipment from the prototype stage through high volume production
• Familiarity with, and interest in grappling with large data sets to drive decision making
• 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
• Hands-on skills with diagnostics software, hardware, tools, instruments, general electromechanical systems and measurement techniques
• Bachelor's Degree in Chemical, Material, Electrical, Industrial, Mechanical Engineering, or equivalent experience

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