トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

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

職種製造
経験ミドル級
勤務地Grünheide (mark), Brandenburg, Germany
勤務オンサイト
雇用正社員
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必須スキル

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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    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    10件のレビュー

    3.8

    10件のレビュー

    ワークライフバランス

    2.3

    報酬

    4.0

    企業文化

    3.2

    キャリア

    4.1

    経営陣

    2.8

    65%

    知人への推奨率

    良い点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    改善点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    給与レンジ

    1,403件のデータ

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2件のレポート

    $94,875

    年収総額

    基本給

    $82,500

    ストック

    -

    ボーナス

    -

    $92,000

    $97,750

    面接レビュー

    レビュー4件

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts