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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Dimensional Engineer, Supplier Industrialization Engineering (m/w/d) - Gigafactory Berlin-Brandenburg

직무엔지니어링
경력미들급
위치Grünheide (mark), Brandenburg, Germany
근무오피스 출근
고용정규직
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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 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    10개 리뷰

    3.8

    10개 리뷰

    워라밸

    2.3

    보상

    4.0

    문화

    3.2

    커리어

    4.1

    경영진

    2.8

    65%

    지인 추천률

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,403개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 후기

    후기 4개

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts