Job Description
What To Expect
Tesla is seeking a motivated and driven Material Flow Engineer who will support material flow data management and completeness for the Plan for Every Part (PFEP) for pre-production programs. This data directly drives critical Factory Design analyses and decisions. This role is based in Austin, TX. The team is responsible for developing a factory design which supports seamless integration between production, material flow, logistics, supply chain and facilities teams. Innovation is expected. Through a detailed understanding of the high-level factory objectives and extensive collaboration with the internal and external teams designing individual factory components, this team ensures that the factory design as whole achieves all of Tesla’s objectives.
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 factory design decisions.
What You'll Do Build relationships with upstream design engineering teams and champion data management strategies to align our team with the latest design directionsOwn data completeness for Plan for Every Part (PFEP) for pre-production factory design activitiesDevelop Power BI or Excel reports to cleanly summarize factory objectives and manage constant changeWork with Factory Design peers to understand internal team data needs for various factory design studies and modelsDrive data-driven communication across teams such as Material Planning, Logistics, Packaging, manufacturing and Sourcing to develop the PFEPAbility to flex into supply chain design activities such as logistics optimization and warehouse designMonitor the frequent changes in BOM and ensure Dataset aligns with latest product & manufacturing definition
What You'll Bring 2+ years data engineering experience (manufacturing focus preferred), internship experience may be consideredDegree in Industrial Engineering, Data Analytics, or equivalent experienceExperience collecting and managing data with cross-functional teamsProficiency with Excel, VBA, Power BI, SQLExperience leading innovative, thoughtful solutions to systems-level problemsComfortable navigating ambiguous problemsAble to work under pressure while managing competing demands and tight deadlinesAbility to interpret engineering and manufacturing BOMsSolid understanding of logistics and warehousing design conceptsExperience with PFEP (plan for every part) database creation or management or analyzing/optimizing factory and production line designs
Benefits
Compensation and 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
, Tesla
Job Tags
Full time, Temporary work, Internship, Flexible hours,