Process Engineer Technician, Service Distribution

Remote Full-time
What To Expect Tesla is looking for a highly motivated, goal-oriented Process Engineer Technician to contribute to implementing Industrial Engineering and Lean Principles for all processes at our Parts Distribution Centers in North America. Through a detailed understanding of the Distribution network’s objectives and extensive collaboration with internal and external teams, the Process Technician will help improve processes to increase productivity and quality. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem of an incredibly exciting product. What You'll Do Assist process engineers in developing and deploying efficient processes to optimize the overall operation regarding associates, equipment, material requirements, and information to achieve an optimal state Collaborate with stakeholder teams like Warehouse Operations, Facilities Engineering, IT Application Developers, Logistics, Safety, Material Planning, MHE Vendors, and 3PLs Collaborate with management and cross-functional support teams to identify process constraints and execute solutions accordingly Ability to create multi-process workstation layouts, standardized work, staffing, and process maps to execute a successful rebalance of workstations as needed Ability to prepare diagrams to illustrate workflow, product routing, floor layouts, material handling, and equipment utilization Ability to collect statistical cycle time studies, analyze data, and optimize processes Working knowledge of 5S principles, Work Measurement, JIT, Continuous Improvement, and Problem-Solving Methods What You'll Bring Understands the definition of Cycle Time, and Lean concepts Able to work under pressure while managing competing demands and tight deadlines Exemplary verbal and written communication skills Advanced skills in Microsoft Word, Excel, and PowerPoint Ability to work well with others in a collaborative team environment Comfortable in an environment with unstructured, incomplete, and ambiguous data
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