Quality Systems Engineer

<div class="content-intro"><p>Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.</p></div><h2>Purpose</h2> <p>We are seeking a Quality Systems Engineer to join our growing team. This role will play a critical part in ensuring the quality and reliability of our products and processes, working closely with cross-functional teams to develop innovative solutions for high-precision manufacturing. As a Quality Systems Engineer, you will lead quality control initiatives, implement continuous improvement processes, and help drive the highest standards in production to meet customer and industry expectations.</p> <h2>The Role</h2> <p><strong>Key Responsibilities</strong></p> <ul> <li>Internal and External Audit Management, and CAPAs <ul> <li>Lead internal audits of our processes to ensure quality and efficiency, finding opportunities for improvement and driving positive change</li> <li>Host 3^rd party and customer audits of our QMS, ensuring we are meeting and exceeding the compliance requirements flowed down</li> <li>Manage system level corrective/preventative actions including root cause analysis, corrective action planning, preventative actions, and evaluation of the effectiveness</li> </ul> </li> </ul> <ul> <li>Data Analysis and Process Improvement <ul> <li>Monitor key performance indicators (KPIs), such as yield, defect rates, and on-time delivery, to identify areas for improvement, and working cross-functionally to drive change</li> <li>Track and analyze nonconformance trends to drive targeted process improvement initiatives and reduce system issues</li> <li>Develop dashboards and reports to provide real-time visibility into quality performance and share actionable insights with stakeholders</li> <li>Lead initiatives to improve process efficiency and reduce defects by analyzing quality and production data to identify trends, root causes, and improvement opportunities</li> <li>Implement robust process controls and