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Sr. Logistics Optimization Engineer
Sr. Logistics Optimization EngineerJobs via Dice • Austin, TX, US
Sr. Logistics Optimization Engineer

Sr. Logistics Optimization Engineer

Jobs via Dice • Austin, TX, US
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  • serp_jobs.job_card.full_time
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  • Posted 13 days ago | Updated 4 hours ago
  • Overview

    On Site

    Full Time

    Skills

    Operations Research

    Design Optimization

    Agile

    Organizational Skills

    Work Ethic

    Network Design

    Inventory Control

    JIT

    Sourcing

    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 principles. 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.

    Responsibilities

    • 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
    • Drive data-driven communication across teams such as Material Planning, Logistics, Packaging, and Sourcing to develop global optimization strategies
    • 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 expected warehouse, logistics yard, and factory raw material buffer size projections over time
    • Requirements

    • BS or MS in Industrial Engineering, Supply Chain, Logistics, or equivalent experience
    • Extensive experience in SQL and scripting languages like Python to process and prepare data for modeling and analysis
    • 4+ years' experience with emphasis on supply chain optimization (internship experience will be considered)
    • 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
    • Compensation and Benefits

      Benefits

      Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire :

    • Aetna PPO and HSA plans >
    • 2 medical plan options with $0 payroll deduction

    • Family-building, fertility, adoption and surrogacy benefits
    • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
    • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
    • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
    • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
    • Company paid Basic Life, AD&D, short-term and long-term disability insurance
    • Employee Assistance Program
    • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
    • Back-up childcare and parenting support resources
    • Voluntary benefits to include : critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
    • Weight Loss and Tobacco Cessation Programs
    • Tesla Babies program
    • Commuter benefits
    • Employee discounts and perks program
    • Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

    • Dice Id : RTX1dc278
    • Position Id : 85993b90fd1d4a1a18f426bfc542bb68
    • J-18808-Ljbffr

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    Optimization Engineer • Austin, TX, US

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