Tesla is seeking a highly motivated Manufacturing Engineer to commission, troubleshoot and ramp automation equipment. The engineer will also refine and develop processes. This role is with the Cell Manufacturing Engeering, Tabless – “Welder” team. This engineer will lead the early lifecyle of complex, fully automated, and hi-volume manufacturing equipment: from power-on to validation, and will spend a significant portion of his/her time on the production floor. The scope of equipment and processes include as laser welding, hi-speed pick and place, computer vision, insertions, press-fits, etc. Other responsibilities would include run trials/DoEs, planning projects, developing spefications, writing procedures, interfacing with vendor, driving budget approvals, and redesigning equipment. The engineer will work closely and cross-coordinate with Tesla’s internal Production Engineering, Maintenance, Quality Engineering, NPI and Project Management teams.
What You’ll Do
Commission, validate with statistics, and ramp up automated manufacturing lines/equipment
Troubleshoot equipment, and setup and tune processes; root cause analyze and fix deviations
Perform experiments to improve existing processes, or to verify or develop new processes
Analyze and visualize production and trial data; present conclusions to cross-functional teams
Generate equipment specifications, manufacturing instructions, and other documentation
Collaborate with Production Engineering, Quality Engineering, and NPI teams on yield, quality and availability improvements
Coordinate installations and upgrades with vendors and internal suppliers
What You’ll Bring
Degree in Manufacturing or Mechanical Engineering or related degree, or equivalent experience
Experience in a high-volume manufacturing environment, and in hands-on electromechanical troubleshooting
Skilled in data analysis (summary, regressions) and visualizations; experience with a data analysis software
Has knowledge of electrical (DC) circuits fundamentals, and able to read schematics
Knowledgeable in quality concepts and related statistics (SPC, capability)
Able to perform mechanical tolerance stack/GD&T analyses; experience with CAD software
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