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High Voltage Distribution, Mechanical Design Engineer, Internship (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

High Voltage Distribution, Mechanical Design Engineer, Internship (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

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On-site

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Internship

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Today

What To Expect
Location: Gigafactory Grunheide

Duration: min. 6 months

Time type: Full Time

Start date: Flexible

Mechanical engineers within the High Voltage Distribution team routinely tackle extremely difficult engineering challenges and continuously push beyond what was deemed impossible in regards to mechanical packaging, electrical and thermal performance, cost, and delivery timelines.

High Voltage Distribution (HVD) owns the vehicle’s high-voltage backbone: the charging hardware and the power path from the HV battery to inverters and high-voltage accessories. Our teams operate with a non-conventional automotive product development philosophy of high inter-disciplinary collaboration, flat organizational structure, and technical contribution at all levels. You would be expected to challenge and to be challenged, to create, to innovate.

Being working in a fast-paced, entrepreneurial company should be a pleasure for you. We are building real products. This should excite you. You would work alongside exceptionally motivated engineers in a fast and rapidly changing environment. You are obliged to determine to make your designs successful and excited to engineer the best electric vehicles in the world.

What You'll Do

  • Design of mechanical components and harness routing for Tesla vehicles
  • Design of various test jigs and fixtures to validate HV harness and connectors
  • Work with design engineers and technicians to support prototype vehicle builds and debug electrical harness issues
  • Run basic part validation including thermal testing, thermal characterization and assembly functional checks
  • Create test reports and documentation of results and issues
  • Be production first responder to diagnose vehicle HV harness and connector issues for vehicles in production line
  • Investigate root cause of failures and help to drive product improvement
  • Supporting build and expansion of engineering lab (equipment, layout)


  • What You'll Bring

  • C1 level in English, German is a plus
  • Currently working towards a BS, MS, or advanced degree in a relevant engineering program such as Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Mechatronics, or related field
  • Strong knowledge of engineering fundamentals, such as mechanics, fluid dynamics, heat transfer, material properties and basic electronics
  • Demonstrated hands-on abilities (e.g. machine shop skills, technical hobbies/academic projects, etc.) - Experience with student Formula Vehicle, Solar Car, etc. is a plus
  • Proficiency in CAD modeling. CATIA V5/V6 and 3DX experience is a plus
  • Strong knowledge of tolerance analysis, applying GD&T, finite element analysis (FEA), and basic thermal models
  • Detail-oriented personality with top-tier documentation and reporting skills


  • , 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