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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Supplier Industrialization Engineer, Plastics (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 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.


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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