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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Manufacturing Engineer, Tabless (m/w/d) – Gigafactory Berlin-Brandenburg

직무제조
경력미들급
위치Grünheide (mark), Brandenburg, Germany
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필수 스킬

Project Management

What To Expect
Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation and efficiency. Gigafactory Berlin-Brandenburg forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we achieve our goals. We are looking for you to continue and expand this success story together.

Tesla is seeking a highly motivated Manufacturing Engineer to commission, troubleshoot and ramp automation equipment. The engineer will also refine and develop processes. This role is with the Cell Manufacturing Engeering, Tabless – “Welder” team. This engineer will lead the early lifecyle of complex, fully automated, and hi-volume manufacturing equipment: from power-on to validation, and will spend a significant portion of his/her time on the production floor. The scope of equipment and processes include as laser welding, hi-speed pick and place, computer vision, insertions, press-fits, etc. Other responsibilities would include run trials/DoEs, planning projects, developing spefications, writing procedures, interfacing with vendor, driving budget approvals, and redesigning equipment. The engineer will work closely and cross-coordinate with Tesla’s internal Production Engineering, Maintenance, Quality Engineering, NPI and Project Management teams.

What You'll Do

  • Commission, validate with statistics, and ramp up automated manufacturing lines/equipment
  • Troubleshoot equipment, and setup and tune processes; root cause analyze and fix deviations
  • Perform experiments to improve existing processes, or to verify or develop new processes
  • Analyze and visualize production and trial data; present conclusions to cross-functional teams
  • Generate equipment specifications, manufacturing instructions, and other documentation
  • Collaborate with Production Engineering, Quality Engineering, and NPI teams on yield, quality and availability improvements
  • Coordinate installations and upgrades with vendors and internal suppliers


  • What You'll Bring

  • Degree in Manufacturing or Mechanical Engineering or related degree, or equivalent experience
  • Experience in a high-volume manufacturing environment, and in hands-on electromechanical troubleshooting
  • Skilled in data analysis (summary, regressions) and visualizations; experience with a data analysis software
  • Has knowledge of electrical (DC) circuits fundamentals, and able to read schematics
  • Knowledgeable in quality concepts and related statistics (SPC, capability)
  • Able to perform mechanical tolerance stack / GD&T analyses; experience with CAD software


  • , Tesla

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    10개 리뷰

    3.8

    10개 리뷰

    워라밸

    2.3

    보상

    4.0

    문화

    3.2

    커리어

    4.1

    경영진

    2.8

    65%

    지인 추천률

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,403개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 후기

    후기 4개

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts