トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Equipment Engineer Drive Unit (m/w/d) - Gigafactory Berlin-Brandenburg

職種エンジニアリング
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
掲載今日
応募する
What To Expect
The Equipment Engineer in the Equipment Engineering team will be a part of operating, sustaining, and improving some of the most automated manufacturing equipment in the world. The best candidate for the position has a high aptitude to learn new skillsets in the position. This role requires capability across the board to sustain all parts of the automated equipment. The expectation is not that you arrive on day 1 with this capability, but that you have the attitude and desire to learn all aspects of automation.

What You'll Do

  • Work collaboratively with design, product excellence, production operations, Manufacturing Engineering, NPI, Process Engineering, Maintenance and other cross functional teams as the expert to ensure production lines run in a safe, efficient manner producing high quality parts.
  • Continuous monitoring of compliance with safety standards and regulations relating to production equipment.
  • Prioritize and lead equipment improvement projects to increase Machine availability and Cost reduction for assigned equipment
  • Support line maintenance and process engineers in troubleshooting and repair of equipment
  • Develop and implement strategies for preventive and predictive maintenance.
  • Set up, maintain, and improve the CMMS system.
  • Build training material, maintenance routines, and related documentation for equipment life cycle management.
  • Challenge Product Specifications and Packaging Specifications
  • Creating and maintaining technical documentation, including specifications and operating instructions.
  • Lead equipment upgrades with focus on serviceability and equipment reliability.
  • serviceability and reliability for assigned equipments
  • Training of technical staff for assigned equipment and technologies.
  • Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime situations.
  • 3D CAD and design of equipment.


  • What You'll Bring

  • Bachelor's degree in Mechanical Engineering or Electrical Engineering or equivalent
  • Minimum 3 years of experience in maintenance and repair of production equipment
  • Experience in interpreting technical documents and manuals
  • Experience in creating and maintaining operating and training documents
  • Knowledge of pneumatics, hydraulics, cooling systems, and vacuum technology
  • Experience with electronic devices and systems
  • Strong communication skills with various stakeholders, English is a plus
  • Strong analytical and problem solving skills (DMAIC, 8D, ISHIKAWA, 5W.).
  • Able to work under intense time pressure in the presence others.
  • Willing to work days, afternoons and weekends as determined by project needs.


  • , Tesla

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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