Tesla Process Engineer Energy Cell 

United States, Nevada, Sparks 

771408003

A Process Engineer will implement, develop, and optimize production methodologies in the Energy Cell manufacturing operations of Tesla. This engineer will be responsible for optimizing product flow through process optimization that may include tool /fixture selection, line layouts, ergonomic study, material presentation, 5s, Kaizen, Gemba, Six sigma and other relevant factors. They will interface with design, test, and quality engineering to solve problems, improve manufacturability, and implement continual improvement. They will sustain products with cost reduction and yield improvements. In addition, the process engineer will work with quality to compile and evaluate data to determine appropriate limits and variables for process or material specifications.

• Collaborate with cross functional teams in the development of Process Flows, Control Plan, GR&R, Work Instructions, Process capability, Rework Procedures, Calibration and Qualification of tools, Quality Validation, Risk Assessments (PFMEA) & New product introduction
• Collaborate with Original Equipment Manufacturers in the commissioning and start of production of new automated manufacturing equipment. Collaborate with EHS in the identification, prevention, and mitigation of safety hazards, proposing and implementing engineering solutions
• Develop expertise in manufacturing processes. Understand process capabilities through critical data analysis and in depth understanding of the product. Develop and modify line layouts, including material flow, waste reduction, and ergonomics, utilizing Lean Manufacturing best practices
• Analyze and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) in cost effective means while driving to achieve world-class quality levels. Champion continuous improvement projects (CIP) to maximize yield, capacity, and capability
• Responsible for diagnosing issues found during the part manufacturing process and drive corrective action back to source, resulting in root cause identification and elimination. Utilize structured problem-solving techniques such as DMAIC, Ishikawa, Five Why (5W) and Eight Disciplines (8D)
• Develop robust and clear data collection, visualization, and analysis tools. Enable data driven operational and financial decisions through predictive insights into tool and process performance, including integration of factory data systems and use of software such as MySQL, Python, R, JMP, Minitab, Tableau and Ignition
• Monitor and reduce process variation using techniques such as Statistical Process Control (SPC) and Measurement Systems Analysis (MSA). Monitor and audit manufacturing processes to ensure product specifications and standards are achieved. Participate in the development and maintenance of FMEAs and Control Plans. Analyze, develop, process, and implement Engineering Change Orders
• Create and maintain Manufacturing Instructions, routings, and associated processes. Manage activities for process sustaining technicians to support day to day coverage of production, including developing and documenting appropriate rework procedures
• Integrate and sustain MES (Manufacturing Execution Systems) for area of ownership to enhance traceability and manufacturing performance
• Support 24 by 7 production operations

• Degree in Engineering, or equivalent experience
• Knowledge of Statistical Process Control and its application, preferred
• 4+ years in a high volume, highly automated manufacturing facility developing and improving processes, is a plus
• Experience developing and improving Process. Have a demonstrated track record of Overall Equipment Effectiveness improvement activities, preferred
• Strong problem-solving skills and aptitude for learning systems quickly. Able to utilize structured problem-solving techniques such as DMAIC, Ishikawa, Five Why (5W) or Eight Disciplines(8D). Able to resolve high level performance issues into addressable actions, preferred
• Experience in the use of a broad variety of test, control and data acquisition equipment and software is preferred
• Strong ability to work and communicate effectively with team and peers within a manufacturing and engineering organization. This includes excellent communication skills: written and verbal, is a plus
• Experience on winding systems, industrial roll to roll web handling or similar is a plus
• Experience on X-ray imaging, Vision systems, Laser process, Laser welding or similar is a plus
• Overall experience on power electronics, electrical measurements, testing and metrology systems, is a plus