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Process Engineer Technician, Service Distribution

Remote, USA Full-time Posted 2026-06-17

What To ExpectTesla 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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