Mechanical Manufacturing Engineer – Lean Process Optimization

Remotely
Full-time

You will translate business goals into robust, data-driven manufacturing systems. Expect to pivot between shop-floor analysis, CAD design, and strategic continuous-improvement roadmaps.


Responsibilities  

– Map current value streams, quantify takt gaps, and formulate kaizen plans that boost OEE by double-digit percentages.  

– Design jigs, fixtures, and robotic end-effectors using SolidWorks and AutoCAD; release fully-dimensioned drawings with GD&T.  

– Program CAM toolpaths (Mastercam) that slash cycle time while preserving tool life.  

– Deploy statistical process control dashboards in Minitab and ERP modules; trigger corrective actions before defects escape.  

– Lead root-cause investigations (8D, DMAIC) for chronic quality spills, converting findings into updated control plans.  

– Specify, source, and commission automation cells—collaborative robots, AGVs, vision systems—integrating safety and ergonomic best practices.  

– Author standard operating procedures, visual work instructions, and preventative-maintenance checklists for operators and technicians.  

– Mentor production and maintenance staff on Lean concepts—5S, SMED, Kanban—building a culture of continuous improvement.  


Required Qualifications  

– Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering.  

– 5+ years designing and improving discrete-parts production lines within automotive, aerospace, electronics, or consumer-goods sectors.  

– Proven Lean Manufacturing deployment; measurable scrap or cycle-time reductions.  

– Proficiency with SolidWorks, AutoCAD, and CAM software; comfortable generating NC code.  

– Hands-on experience with Six Sigma tools: DOE, capability studies, SPC charts.  

– Working knowledge of GD&T, DFM/A, and risk-analysis methodologies (FMEA).  

– Strong communication skills—you translate complex data into clear actions.  


Preferred Skills  

– Certified Six Sigma Green or Black Belt.  

– Exposure to Industry 4.0 analytics platforms and OPC-UA connectivity.  

– PLC, robot, or Python scripting for quick automation prototypes.  

– Familiarity with ISO 9001, AS9100, or IATF 16949 quality management systems.