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

Tesla

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

Tesla

Grünheide (mark), Brandenburg

·

On-site

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Full-time

·

Today

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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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts