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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

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

职能制造
级别中级
地点Grünheide (mark), Brandenburg, Germany
方式现场办公
类型实习
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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


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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试评价

    4条评价

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts