Optimize Equipment Reliability: Develop and implement customized proactive maintenance tasks to eliminate recurring equipment failures, catalog and manage a database of spare parts to improve inventory control
Data-Driven Maintenance Optimization: Utilize data analytics tools to build interactive dashboards that pinpoint high-downtime equipment stations, enabling targeted interventions to enhance throughput and reduce bottlenecks
Continuous Improvement Initiatives: Lead incremental equipment enhancement projects with a practical, hands-on approach, utilizing reverse engineering, root cause analysis, 3D modeling, CNC machining, and advanced material selection to optimize reliability and equipment uptime
Collaborate Across Teams: Work closely with maintenance, production, and engineering teams to proactively identify and troubleshoot issues, refine manufacturing processes, and implement solutions that enhance operational efficiency and reliability
What You’ll Bring
Degree in Mechanical Engineering, Industrial Engineering, Reliability Engineering, or equivalent experience
3+ years of experience in reliability engineering, maintenance optimization, and manufacturing process improvements in automotive manufacturing or high-volume production environments
Excellent problem-solving, project management, and cross-functional collaboration skills
Knowledge of predictive maintenance techniques, spare parts management, and process automation
Proficiency in data analytics tools (SQL, Power BI, Tableau preferred)
Practical experience with reverse engineering, root cause analysis, CNC machining, and 3D modeling (SolidWorks, AutoCAD preferred)
Familiarity with Lean Manufacturing, Six Sigma, and Reliability-Centered Maintenance (RCM) principles