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Equipment Engineer Drive Unit (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Equipment Engineer Drive Unit (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
The Equipment Engineer in the Equipment Engineering team will be a part of operating, sustaining, and improving some of the most automated manufacturing equipment in the world. The best candidate for the position has a high aptitude to learn new skillsets in the position. This role requires capability across the board to sustain all parts of the automated equipment. The expectation is not that you arrive on day 1 with this capability, but that you have the attitude and desire to learn all aspects of automation.

What You'll Do

  • Work collaboratively with design, product excellence, production operations, Manufacturing Engineering, NPI, Process Engineering, Maintenance and other cross functional teams as the expert to ensure production lines run in a safe, efficient manner producing high quality parts.
  • Continuous monitoring of compliance with safety standards and regulations relating to production equipment.
  • Prioritize and lead equipment improvement projects to increase Machine availability and Cost reduction for assigned equipment
  • Support line maintenance and process engineers in troubleshooting and repair of equipment
  • Develop and implement strategies for preventive and predictive maintenance.
  • Set up, maintain, and improve the CMMS system.
  • Build training material, maintenance routines, and related documentation for equipment life cycle management.
  • Challenge Product Specifications and Packaging Specifications
  • Creating and maintaining technical documentation, including specifications and operating instructions.
  • Lead equipment upgrades with focus on serviceability and equipment reliability.
  • serviceability and reliability for assigned equipments
  • Training of technical staff for assigned equipment and technologies.
  • Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime situations.
  • 3D CAD and design of equipment.


  • What You'll Bring

  • Bachelor's degree in Mechanical Engineering or Electrical Engineering or equivalent
  • Minimum 3 years of experience in maintenance and repair of production equipment
  • Experience in interpreting technical documents and manuals
  • Experience in creating and maintaining operating and training documents
  • Knowledge of pneumatics, hydraulics, cooling systems, and vacuum technology
  • Experience with electronic devices and systems
  • Strong communication skills with various stakeholders, English is a plus
  • Strong analytical and problem solving skills (DMAIC, 8D, ISHIKAWA, 5W.).
  • Able to work under intense time pressure in the presence others.
  • Willing to work days, afternoons and weekends as determined by project needs.


  • , 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