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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Manufacturing Engineer, Tabless (m/w/d) – Gigafactory Berlin-Brandenburg

职能制造
级别中级
地点Grünheide (mark), Brandenburg, Germany
方式现场办公
类型全职
发布今天
立即申请

必备技能

Project Management

What To Expect
Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation and efficiency. Gigafactory Berlin-Brandenburg forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we achieve our goals. We are looking for you to continue and expand this success story together.

Tesla is seeking a highly motivated Manufacturing Engineer to commission, troubleshoot and ramp automation equipment. The engineer will also refine and develop processes. This role is with the Cell Manufacturing Engeering, Tabless – “Welder” team. This engineer will lead the early lifecyle of complex, fully automated, and hi-volume manufacturing equipment: from power-on to validation, and will spend a significant portion of his/her time on the production floor. The scope of equipment and processes include as laser welding, hi-speed pick and place, computer vision, insertions, press-fits, etc. Other responsibilities would include run trials/DoEs, planning projects, developing spefications, writing procedures, interfacing with vendor, driving budget approvals, and redesigning equipment. The engineer will work closely and cross-coordinate with Tesla’s internal Production Engineering, Maintenance, Quality Engineering, NPI and Project Management teams.

What You'll Do

  • Commission, validate with statistics, and ramp up automated manufacturing lines/equipment
  • Troubleshoot equipment, and setup and tune processes; root cause analyze and fix deviations
  • Perform experiments to improve existing processes, or to verify or develop new processes
  • Analyze and visualize production and trial data; present conclusions to cross-functional teams
  • Generate equipment specifications, manufacturing instructions, and other documentation
  • Collaborate with Production Engineering, Quality Engineering, and NPI teams on yield, quality and availability improvements
  • Coordinate installations and upgrades with vendors and internal suppliers


  • What You'll Bring

  • Degree in Manufacturing or Mechanical Engineering or related degree, or equivalent experience
  • Experience in a high-volume manufacturing environment, and in hands-on electromechanical troubleshooting
  • Skilled in data analysis (summary, regressions) and visualizations; experience with a data analysis software
  • Has knowledge of electrical (DC) circuits fundamentals, and able to read schematics
  • Knowledgeable in quality concepts and related statistics (SPC, capability)
  • Able to perform mechanical tolerance stack / GD&T analyses; experience with CAD software


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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

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403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

    面试评价

    4条评价

    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