Logistics Optimization Engineer

Tesla is seeking a motivated Logistics Engineer who will drive systems-level optimizations for inbound logistics. This role will marry inputs from material planning, supplier sourcing, packaging, warehousing, logistics and real estate teams to champion analyses for overall system optimizations. This position necessitates a strong foundation in Industrial Engineering, complemented by comprehensive expertise in Operations Research, Discrete Event Simulations, as well as a thorough understanding of Supply Chain fundamentals. It is critical for a successful applicant to solve problems using first principles analysis, and exercise aggressive design optimization. This role may be based in Austin, TX.

The ideal candidate will excel in a demanding and fast-paced environment where they will work as part of a strong, agile, and highly motivated team to accomplish some of the most ambitious projects being attempted in any industry today. A successful applicant will take pride in their thoroughness, analytical ability, organizational skills, and team mentality. The candidate will be able to think at a systems level about ambiguous problems and use strong logic to develop models that drive optimal program design decisions.

• 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

• 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