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Engineering / Lab Technician, Passive Safety Testing (m/f/d), Berlin

Tesla

Engineering / Lab Technician, Passive Safety Testing (m/f/d), Berlin

Tesla

Kreisfreie Stadt Berlin, Be

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On-site

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Full-time

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Today

What To Expect
The Passive Safety Team plans, executes, analyzes, and reports on crash, sled, and component-level testing for vehicle development, regulatory certification, and consumer protection programs (e.g., Euro NCAP). The team consists of Test Engineers and Engineering Technicians, specializing in a variety of disciplines. The Passive Safety team is constructing a new test lab in Berlin, Germany, where this position will be based, with regular travel (approx. 30%) to external partner facilities in Europe.

What You'll Do

  • Work in a team-based environment to commission new test equipment and lab capabilities, and execute airbag deployment, pedestrian and interior impact, and vehicle structural strength testing in our Berlin test lab
  • Retrofit and prepare test vehicles per defined configurations; install and remove test fixtures or ballast as required; document test-setup details; collect and analyze test data; report incidents discovered during testing; and support teardown activities at internal and partner test labs across Europe
  • Maintain and calibrate test and lab equipment, write and improve test procedures, and continuously drive test lab and process efficiency
  • Perform pre- and post-test vehicle and crash test dummy measurements using a Coordinate Measurement Machine (CMM)
  • Organize, label, and store test samples and components
  • Decommission vehicles, including removing and discharging high-voltage battery packs, and prepare crashed vehicles for recycling or scrapyard processing
  • Champion Tesla’s culture of safety by maintaining rigorous safety protocols and environmentally responsible work practices


  • What You'll Bring

  • Broad experience diagnosing, repairing, and replacing components on hybrid or BEV passenger vehicles; Tesla-specific or certified BEV experience preferred. The job requires regular lifting and carrying of loads up to 23 KG
  • Experience with data acquisition systems (DTS, Kistler, or HBM) and equipment such as Coordinate Measurement Machines (CMMs), hydraulic test systems, or crash sleds preferred
  • Experience with Euro NCAP or other regulatory crash or component testing preferred
  • Ability to use computers effectively for diagnostics and test reporting (Microsoft Word, Excel, PowerPoint, Jira, Tesla-specific diagnostic tools)
  • Strong English technical communication skillset, to communicate verbally and digitally with international colleagues.
  • Proactive mindset with a strong desire to do things right, adapt quickly to changing requirements, and thrive in a fast-paced environment
  • Able to manage multiple priorities, organize workload, and meet deadlines
  • Valid driver's license required
  • Associate degree in Engineering or Automotive Technology from an accredited institution, or Automotive OEM Test Technician Training, and/or demonstrated proficiency through relevant work experience
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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