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Audio Visual Support Internship (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Audio Visual Support 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 Berlin-Brandenburg

Duration: 6 months

Time type: Full time

Start date: October / November 2025

Internship assignment:

We are looking for a highly motivated individual to support the company’s growing AV and event needs. The AV Support and Integration Intern will support the team to fulfill the company’s vision of the next generation workplace. This position will be based in Berlin, Germany. Highly organized and confident in ability to support the team with the execution of AV integration projects within set deadlines, organizing and coordinating live events as well as developing disaster recovery plans. On-going cooperation with other departments and a range of internal and external stakeholders. This Internship role requires the flexibility of being able to attend events and functions out-of-hours when necessary.

What You'll Do

  • Evaluate and support major AV integration projects under guidance from senior team members.
  • Assist with event support and set-up in coordination with the AV Team.
  • Learn and participate in architecture discussions and planning with IT and Facilities teams.
  • Support in gathering customer input, translating it into technical and business requirements under supervision.
  • Review and assist in troubleshooting efforts during crisis situations for users.
  • Support the development and implementation of hardware and software integrations to streamline operations.
  • Provide backup support services when needed, under the guidance of other AV Support Technicians.
  • Assist in creating end-user and internal AV team documentation.
  • Collaborate closely with IT and AV Engineers to review new office build handoffs and ensure thorough and complete transitions.
  • Support maintaining the photo database and event coverage archives.
  • Learn basic networking skills, including TCP/IP, UDP, and IP schemas, with the opportunity to apply them under supervision.


  • What You'll Bring

  • Currently enrolled in a Bachelor's or Master's program in AV Media or a related field
  • Emphasis on Microsoft Teams experience preferred
  • Experience and skills with Microsoft Office packages and Photoshop.
  • Ability to independently plan and organize work, manage priorities, and utilize available resources to complete quality work within time constraints.
  • Good knowledge of conferencing systems is a plus.
  • Live event experience is a plus.
  • Very good English skills (C1), good knowledge of German is a plus.
  • Analytical mindset and problem-solving oriented.
  • Ability to multi-task, prioritize and work in an extremely fast-paced environment.
  • Clean, valid driving license


  • , 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

    3.1

    5개 리뷰

    워라밸

    1.5

    보상

    1.2

    문화

    1.3

    커리어

    1.8

    경영진

    1.1

    15%

    친구에게 추천

    장점

    Strong financial performance

    Revenue growth

    Company achieving targets

    단점

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    연봉 정보

    1,397개 데이터

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2개 리포트

    $131,600

    총 연봉

    기본급

    $114,400

    주식

    -

    보너스

    -

    $131,600

    $131,600

    면접 경험

    4개 면접

    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