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职位Tesla

Sr. Manufacturing Engineer, Material Flow Automation

Tesla

Sr. Manufacturing Engineer, Material Flow Automation

Tesla

Sparks, Nevada

·

On-site

·

Full-time

·

Today

必备技能

Excel

Project Management

What To Expect
Tesla is currently seeking a motivated and accomplished Manufacturing Engineer with who will lead the design and implementation of automated material handling system for new and existing factories and programs at Tesla. This position will be based in Gigafactory Texas near Austin, TX. The ideal candidate will excel in a demanding and fast-paced environment where they will work as part of a smart, agile, and highly motivated team to accomplish some of the most ambitious projects being attempted in any industry today. Manufacturing Engineers on the Material Flow Engineering team (MFE) are responsible for developing solutions for the efficient and reliable flow of material to the Tesla manufacturing lines. As a manufacturing engineer you are responsible for managing and owning automated material handling projects from “cradle to grave”. This includes the concept, design, install, commissioning, ramp, handing over to Production team, and continuous improvement of automated material handling equipment such as but not limited to automated storage systems (ASRS), final assemble conveyance such as car bodies, batteries, and drive units, automated lifts, material handling robot cells etc. Besides owning the design and technical scope of a project, Senior Manufacturing Engineers also provide mentorship and guidance to other Engineers and stakeholders within Tesla. A Senior Manufacturing Engineer’s role is to make sure that MFE system’s designs meet Tesla’s goals and objectives. Project management functions such as timelines, budgets and coordination’s with vendors and other manufacturing teams, but also factory layout, construction, packaging, production teams within Tesla are also the responsibility of the Manufacturing Engineer on the Material Flow Engineering team.

What You'll Do

  • Design automated material handling solutions to establish new and improved existing material flows throughout the facilities. The design includes material arrival at docks, delivery to line-side locations, material transport between internal manufacturing lines, buffer/storage systems, robotic material handling solutions
  • Drive material flow strategies and dynamic manufacturing systems
  • Develop analytical models to establish design criteria and overall system performance criteria
  • Investigate and research advanced technologies to optimize material handling equipment and systems
  • Concept development, detailed engineering design, and collaboration with system build and integration
  • Develop RFQs, technical equipment specifications, procedures, and proper documentation


  • What You'll Bring

  • Bachelor’s Degree in Engineering or equivalent experience
  • 5+ years of practical automated material handling and process equipment design experience in AS/RS, electric monorail system, conveyance, mobile robotics (AGVs or AMRs), and robotic material handling
  • Proficient in AutoCAD, SolidWorks, CATIA or similar modeling software
  • A solid engineering background with hands-on design and development experience
  • A passion to work with automation equipment and design processes around it
  • Ability to lead a project from concept through to installation and hand-over while working in a close-knit, team environment
  • Knowledge of and experience with material flow strategies and dynamic manufacturing systems.
  • Strong analytical and organizational skills. Ability to manage several complex projects at the same time with high degrees of variation and uncertainty


  • 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:
  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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

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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    3.1

    5条评价

    工作生活平衡

    1.5

    薪酬

    1.2

    企业文化

    1.3

    职业发展

    1.8

    管理层

    1.1

    15%

    推荐给朋友

    优点

    Strong financial performance

    Revenue growth

    Company achieving targets

    缺点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    薪资范围

    1,397个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试经验

    4次面试

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts