Display a positive attitude and practice strong work ethics that reflect the mission, philosophy and goals of Tesla
Design and execute innovative logistics strategies encompassing route optimization, network design, and inventory control systems
Develop and deploy creative cost-effective transportation solutions by leveraging strategies such as intermodal transportation (IMDL), JIT, cross-docking, and milk run logistics
Collaborate with cross functional teams comprising of Packaging Engineering, Material Planning, Supply Chain, Finance and more, to ensure the right strategies of Logistics designs are implemented
Develop models to capture actionable opportunities to reduce on-hand inventory and minimize warehousing while reducing overall part cost
Analyze opportunities to localize supplier base and help make it happen
Create tools to manage Material Planning inputs for inventory calculations
Identify potential improvements to packaged part density with Packaging team to reduce logistics/storage footprint
Manage warehouse, logistics yard, and factory raw material buffer size projections over time
What You’ll Bring
Degree in Industrial Engineering, Supply Chain, Logistics or equivalent experience
2+ years’ experience with emphasis on supply chain optimization (internship experience will be considered)
Experience in SQL and scripting languages like Python to process and prepare data for modeling and analysis
Experience solving ambiguous, system-level problems using quantitative methods and linear programming principles
Strong background in Excel with VBA (or similar tools) and data visualization tools similar to Tableau or Power BI
Solid understanding of logistics, warehousing design, and packaging optimization in collaboration with Packaging Engineering/Design teams
Familiarity with packaging qualification testing for logistics and regulatory standards (e.g., ISTA, ISO) is a plus
Exposure to discrete event simulation software (e.g., ARENA, FlexSim) and work measurement systems similar to MOST or MODAPTS
Demonstrated leadership and ability to drive cross-functional projects in high-volume manufacturing environments
Strong analytical skills with the ability to communicate insights clearly through verbal and written communication