<p>The PCBA Manufacturing Engineer is responsible for developing and implementing manufacturing processes for power electronics printed circuit board assemblies (PCBAs). This role will focus on process development, early builds, and new product introductions, ensuring that manufacturing processes are efficient, reliable, and meet quality and cost targets.</p> <ul> <li>Develop and implement new manufacturing processes for PCBA production, including SMT, through-hole, and other assembly technologies </li><li>Lead early build activities, including prototyping, pilot production, and new product introductions, to ensure successful transition to production </li><li>Collaborate with design engineers to ensure that designs are manufacturable and meet production requirements </li><li>Develop and optimize process parameters, including solder paste printing, pick-and-place, reflow, and inspection, to improve yields and reduce costs </li><li>Troubleshoot production issues and implement corrective actions to improve yields and reduce costs, using data analysis and problem-solving skills </li><li>Develop and maintain documentation, including work instructions, control plans, and process failure modes effects analysis (PFMEA) documents, to ensure process control and quality </li><li>Work with suppliers, equipment vendors, and internal stakeholders to ensure that components, materials, and equipment meet manufacturing requirements, and to identify opportunities for process improvement and cost reduction </li><li>3+ years of experience in PCBA manufacturing, SMT process engineering, or related field </li><li>Strong knowledge of SMT and soldering processes, including experience with IPC-A-610 and IPC-J-STD-001 certifications </li><li>Experience with SMT equipment and process optimization, including solder paste printing, component placement, reflow profiling, SMT inspection and testing methods, such as AOI and X-ray inspection </li><li>Experience with lean and six sigma principles, including proficiency in tools such as DMAIC, Root Cause Analysis (RCA), Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), Process Capability Analysis (PCA), statistical process control (SPC), and Kaizen </li></ul>