トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Supplier Industrialization Engineer, Plastics (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
Tesla’s Supplier Industrialization team is responsible for component development, part and process qualification activities, quality management, and continuous improvement activities at suppliers. The job requires effective communication at all levels both with internal and external teams, traveling to suppliers in different regions, and on-the-spot critical decision making. The goal: developing suppliers by teaching best practices for manufacturing, quality, and engineering, delivering on time quantities of high quality component parts into Tesla’s production processes to enable extremely rapid development cycles and product launches, driving lean manufacturing principals to reduce waste and improve quality.

What You'll Do

  • Lead Supplier Industrialization activities from R&D phase to mass production including product development, qualification, quality control and initiate New Product Introduction.
  • Scout Innovation for Quality and Cost optimization from the supply base and support Design for Manufacturing feedback into Engineering teams.
  • Facilitate communication and clarification of technical requirements between Suppliers and Tesla Purchasing, Quality, and Engineering teams.
  • Accountable for supplier audits to ensure their ability to meet material performance, delivery, and reliability expectations.
  • Drive tracking and improving supplier manufacturing process development and launch readiness for new products and design changes.
  • Validate supplier corrective actions involving design and/or process changes to ensure they are robust, sustainable, and implemented for similar potential concerns across manufacturing lines and/or suppliers.
  • Project manage the supply chain scope at a global level driving steps forward and continuous improvement on the technical and cost reduction level.


  • What You'll Bring

  • Degree in Engineering, Mechanical, Chemical, Physics or evidence of experience
  • Minimum of 5 years’ experience in manufacturing, research, or quality engineering, with demonstrated evidence of excellence
  • Experience in Supplier Industrialization, Customer Quality, and Product or Application Development at Raw Material producer or qualified automotive supplier
  • Knowledge of PPAP/APQP processes and automotive technical knowledge
  • Experience of statistical analysis, design quality assessment and improvement technique
  • Hands-on and ready to work on a fast-paced environment
  • Excellent spoken and written English
  • Business travel, both domestic and international is required. Expect more than 50% of your time traveling including short notice.


  • , 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