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Powder Equipment Development Engineer (m/w/d), Cell Engineering - Gigafactory Berlin-Brandenburg
Job-Kategorie
Manufacturing
Ort
Grünheide (Gigafactory Berlin), Brandenburg
Kennnummer
67705
Arbeitsverhältnis
Full-time
Bestätigen
Responsibilities:
Drive design, commissioning ramp of a complex manufacturing tool that is the first of its kind at Tesla
Work collaboratively as the equipment expert to ensure production lines run in a safe, efficient manner producing high quality parts.
Become owner / subject matter expert to drive equipment-related process improvement including detailed troubleshooting and root cause analysis.
Troubleshoot and recover processes by PLC, HMI, or tool management software, and implement changes/improvements
Build training material, maintenance routines, and related documentation for equipment life cycle management
Lead safety and ergonomic improvements to production equipment which meets or exceeds regulations or best practices.
Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime situations
Participate in supplier/ internal equipment buyoffs
Debug and optimize automated processes to maximize cycle time and uptime.
Develop and manage FMEA risk assessments to prioritize equipment improvement projects and ensure sufficient repair strategies.
Provide hands-on support to maintenance team to troubleshoot and resolve extended downtime situations.
Requirements:
Either a BS with 6+ years’ relevant experience or an MS with 3+ years relevant experience in interdisciplinary/integrated engineering, manufacturing engineering, or equivalent
Strong engineering foundations. Aptitude to learn
Demonstrated experience ramping equipment into manufacturing - automation equipment, web handling, design of electromechanical systems, PLCs, motion controls, and data capture
Demonstrated experienced solving complex electromechanical and software systems with limited documentation to debug issues, build process know-how, and kick off improvement projects
Structured thinking and problem solving abilities. Proven through a number of root cause analysis following a data driven approach, statistical software (JMP) a plus
2D ACAD experience in creating/validating layouts, tooling drawings, Pneumatic and electrical schematics
Experience with robot programming, backup and restoration a plus
Experience in automotive or high volume manufacturing is highly desired
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