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Equipment Engineer, Cell Assembly (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Equipment Engineer, Cell Assembly (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

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Full-time

·

Today

What To Expect
Tesla is at the forefront of innovation in sustainable energy, and our Cell Assembly team is critical to achieving our mission of accelerating the world's transition to sustainable energy. We are seeking a highly skilled Equipment Engineer to develope and enhance equipment for our advanced battery cell manufacturing processes. You will collaborate with cross-functional teams, including Engineering, Quality, and Process teams, to take new products from initial design through prototype development to full production. Your work will involve optimizing equipment and processes, ensuring safety, and driving continuous improvements in a critical subsystem of innovative products.

What You'll Do

  • Drive ramp of new production lines by characterizing baseline performance and capability of each system and drive actions to maintain or improve performance as measured by product quality and tool availability
  • Lead initiatives to improve safety and ergonomics of production equipment, ensuring compliance with regulations and best practices
  • Design, fabricate, install, and modify equipment improvements, including managing bidding and quoting processes
  • Collaborate with Controls Engineers and technicians to troubleshoot and optimize processes using PLC, HMI, or tool management software
  • Develop detailed maintenance instructions for complex and ambiguous repair tasks
  • Generate and maintain documentation including machine and process specifications, drawings, BOM, spare parts, PFMEA, control plan, process flow chart
  • Analyze production with statistical software (JMP or Minitab preferred) to understand manufacturing uptime, availability, and reliability metrics-yield, OEE, cycle time, quality and investigate bottlenecks to identify root cause and countermeasure to maximize throughput
  • Integrate machine interactions with the plant-wide Manufacturing Execution System (MES)


  • What You'll Bring

  • Degree in Mechanical Engineering, Manufacturing Engineering, or equivalent experience
  • 5+ years of hands-on manufacturing engineering experience
  • Proven experience in ramping equipment into manufacturing, including automation, hydraulics, pneumatics, electromechanical systems, and motion controls
  • Experience in high volume manufacturing involving one or more of these areas is highly desired: Metal Forming, Component Feeding, ultrasonic welding, Laser Welding, Electrolyte Filling and Quality inspection
  • Experience developing operating and maintenance instructions and training operators
  • Extensive Proficiency with 3D (SolidWorks, 3Dx, Catia) and 2D CAD (AutoCAD) platforms
  • Preferred experience with layout creation, tooling drawings, pneumatic, and electrical schematics
  • Proven ability to operate under pressure while managing multiple priorities simultaneously


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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