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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

职能工程
级别中级
地点Grünheide (mark), Brandenburg, Germany
方式现场办公
类型全职
发布今天
立即申请
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.


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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试评价

    4条评价

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts