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

Tesla

Supplier Industrialization Engineer, Plastics (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 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.


  • , 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