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Automation Control Engineer, Electrical Panel - Manufacturing Test Engineering (m/w/d)

Tesla

Automation Control Engineer, Electrical Panel - Manufacturing Test Engineering (m/w/d)

Tesla

Berlin

·

On-site

·

Full-time

·

Today

What To Expect
Join Tesla’s Manufacturing Test Engineering team as an Electrical Design Engineer, where you'll design cutting-edge electrical systems for test equipment embedded in our manufacturing lines. This hands-on role focuses on contributing innovative ideas, developing proof-of-concepts, supporting mass production, and collaborating with cross-functional teams to create best-in-class test systems for Tesla’s vehicle offerings (Model 3/Y, Semi Truck, Cybertruck, CyberCab) and energy products (Supercharger, Megapack, Powerwall). You'll work in a dynamic environment, emphasizing robust, data-centric production testing for high-voltage electronic components in vehicles, stationary storage, and related applications. Expect a fast-paced setting with up to 20% domestic and international travel to support multi-site operations.

What You'll Do

  • Architect novel, fully automated testing machinery from first principles, balancing cost, lead time, complexity, and test coverage across disciplines
  • Research and specify electrical test components, including measurement devices, power supplies, sensors, I/O devices, multimeters, oscilloscopes, and power analyzers, to meet test requirements.
  • Design schematics and layouts for industrial electrical control panels using tools like EPLAN or AutoCAD Electrical.
  • Implement and validate reliable industrial safety systems to safeguard high-voltage and mechanical hazards, including analyzing safety performance levels (PL) for compliant hardware and programming.
  • Debug and optimize automated processes to minimize cycle time and maximize uptime.
  • Characterize and validate equipment using statistical approaches (e.g., GR&R, Cpk)
  • Perform bench testing on electrical components to validate test processes.


  • What You'll Bring

  • Hands-on experience as an Electrical, Mechatronics, or Controls Engineer, with a focus on automation, machine design, or product development in industrial/manufacturing environments.
  • Proficiency in building complex machine schematics using Electrical CAD software, such as EPLAN or AutoCAD Electrical.
  • Experience programming Programmable Logic Controllers (PLCs), preferably in Rockwell Allen Bradley Studio 5000 and/or Siemens TIA Portal
  • Exposure to high-voltage power electronics (e.g., inverters, DC-DC converters) and building electrical/control systems from first principles for test systems or production machinery.
  • Strong skills in specifying and integrating electrical test equipment, including power supplies, multimeters, oscilloscopes, and power analyzers.
  • BS/MS in Electrical, Computer, or Mechatronics Engineering (or equivalent experience).
  • Excellent organizational skills, attention to detail, and analytical abilities, with a passion for hands-on problem-solving in a high-responsibility environment.


  • , 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