トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Associate Mechanical Design Engineer, Battery Module, Battery Engineering (m/w/d)

職種製造
経験新卒・ジュニア
勤務地Berlin, Germany
勤務オンサイト
雇用正社員
掲載今日
応募する
What To Expect
Mechanical engineers on our engineering team don’t just design batteries— we ship them! The role requires strong fundamentals, a passion to push the boundaries of technology and the tenacity to ensure the success of your creations. Our product requirements push the limits of physical possibility, demanding extreme attention detail and the highest standard of performance, quality and manufacturability. Our team drives collaboration with many engineering groups— team players only. Tesla moves quickly, so being self-motivated and disciplined is critical. You must be passionate, but direction changes quickly, so you must also be resilient. Our team is responsible for the performance, safety, reliability, and scalability of every automotive HV battery product at Tesla!

What You'll Do

  • Full product design responsibility, from concept through production launch and ramp
  • 3D design of complex parts and assemblies
  • Advancing product performance while driving down cost and mass
  • Developing new technologies, supported with early process development
  • Relentless improvement of existing products
  • Hands-on prototyping
  • Specification definition (dimensional, functional, performance, manufacturing)
  • Meticulous release of 2D part and assembly drawings
  • Owning basic testing and analysis; supporting advanced testing and analysis
  • Root causing test failures and production problems
  • Collaboration with other teams inside Tesla (manufacturing, testing, NPI, supply chain, etc.)
  • Close, active supplier relationships
  • Travel to support production launch and ramp (supplier visits, on-site at Tesla factories, etc.)


  • What You'll Bring

  • Strong Engineering fundamentals in heat transfer, fluids, mechanics, and electronics
  • Desire to own a lot and work hard - we have small teams and fast timelines
  • Demonstrated ability to create products: CAD design to hand on prototyping
  • Experience with various manufacturing processes such as plastic injection molding, metal stamping, thermoforming, welding/brazing, plating, heat treating, and bonding. Direct machine shop skills a plus
  • Experience in designing for high volume assembly, both manual and automated
  • Experience defining test plans, designing test setups, and analyzing data
  • A detail oriented personality with solid documentation and reporting skills
  • Proficiency in CAD modeling. CATIA V5/V6 experience a plus but not mandatory
  • Experience with student Formula Vehicle, Solar Car, Hyperloop etc. a plus
  • Bachelor's Degree in Mechanical Engineering, or equivalent. Master's Degree a plus


  • , Tesla

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    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    10件のレビュー

    3.8

    10件のレビュー

    ワークライフバランス

    2.3

    報酬

    4.0

    企業文化

    3.2

    キャリア

    4.1

    経営陣

    2.8

    65%

    知人への推奨率

    良い点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    改善点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    給与レンジ

    1,403件のデータ

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2件のレポート

    $94,875

    年収総額

    基本給

    $82,500

    ストック

    -

    ボーナス

    -

    $92,000

    $97,750

    面接レビュー

    レビュー4件

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts