トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Dimensional Engineer, Supplier Industrialization Engineering (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 Engineering team drives critical component development and qualification at suppliers. This role demands cross-functional collaboration with expert technical insight, on-the-spot critical decision-making, and strong communication to align internal and external stakeholders. The ultimate goal: Deliver high-quality components on time to support Tesla’s extremely rapid development cycles and product launches.

The Dimensional Engineer will develop and validate measurement systems with Tesla's suppliers to ensure they meet Tesla's exacting standards. This includes reviewing drawings, measurement plans, procedures, and protocols, as well as designing, developing, and qualifying measuring fixtures and gauges. The successful candidate will bring strong expertise in dimensional engineering principles, measurement uncertainty, process validation methodologies, and fixture design.

What You'll Do
Technical Expertise and System Development:
  • Serve as the Supply Chain technical expert for dimensional engineering, providing hands-on guidance and deep dives to resolve complex issues in Tesla's fast-paced environment.
  • Collaborate with Design and Supplier Industrialization Engineers to develop measurement systems and processes, ensuring suppliers comply with Tesla's dimensional requirements.
  • Review drawings and technical specifications to assure compliance with measurement standards.


  • Validation and Qualification:
  • Lead gauge and fixture concept and design, including development and qualification activities.
  • Conduct measurement system validation and qualification, including Gauge R&R studies, to confirm accuracy, reliability, and alignment with quality standards.
  • Audit measurement systems at suppliers to identify risks, drive improvements, and maintain compliance.


  • Analysis and Problem Solving:
  • Perform data analysis and problem solving, including hands-on investigations, to accelerate resolutions and reduce disruptions in the supply chain.
  • Apply statistics analysis and process control techniques to enhance supplier performance, inform data-driven decisions, and support continuous improvement initiatives.
  • Conduct dimensional stack analysis, such as 3DCS, to evaluate tolerances, predict variations, and ensure design and manufacturing compliance.


  • What You'll Bring

  • BS Degree in Mechanical, Industrial, or Manufacturing Engineering (or equivalent experience with exceptional ability).
  • 5+ years of experience in Supplier Industrialization, Quality, or Product Development Engineering.
  • Excellent understanding of GD&T, ASME Y14.5 preferred.
  • Experienced with CAD design software, CATIA preferred.
  • Knowledge of PPAP/APQP processes and automotive technical standards.
  • Excellent spoken and written English.
  • Business travel, both domestic and international, is required, including on 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