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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Factory Scheduler (m/w/d) - Gigafactory Berlin - Brandenburg

직무제조
경력미들급
위치Grünheide (mark), Brandenburg, Germany
근무오피스 출근
고용정규직
게시오늘
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필수 스킬

Project Management

What To Expect
We are seeking a highly organized and collaborative Planner to join the dynamic Planning and Scheduling team at GFBB. In this critical role, you will serve as the central coordinator for factory-wide planning efforts, working closely with stakeholders across all departments, including factory planning, construction, engineering, manufacturing and technical services—to define comprehensive schedules, map dependencies, and establish clear priorities.

What You'll Do

  • Reporting to the Planning and Scheduling Lead, GFBB.
  • Develop, integrate, maintain and optimize cross-departmental factory timelines into one master schedule.
  • Identify, analyze, and document critical projects, activities, dependencies, risks, and constraints to prevent roadblocks and delays.
  • Monitor schedule adherence, track variances, and implement corrective actions in partnership with respective teams.
  • Support involved stakeholders by navigating dependencies across interconnected timelines and conduct scenario planning to facilitate decision-making.
  • Organize planning meetings, workshops, and reviews to ensure buy-in and accountability from all stakeholders.
  • Set up a priority based decision-making process for factory leadership to align plans with overall company targets.
  • Create and distribute regular schedule updates, progress reports, and dashboards to align all relevant stakeholders on mutual road map.


  • What You'll Bring

  • BS in a relevant engineering program such as Mechanical Engineering, Electrical Engineering, Engineering Management, Process Engineering or related degree, MS preferred.
  • 2+ years of proven experience in planning and scheduling of engineering scopes, preferably in the automotive industry.
  • Knowledge of scheduling methodology, like CPM, lean principles as well as experience in using scheduling software, preferably Primavera P6 or Asta Powerproject.
  • Strong bias in success in project management, communications, influencing others, cross-functional team interaction, and driving results on time.
  • Excellent communication/ organization/ problem solving/ time management skills as well as open-minded, collaborative and team-oriented attitude.
  • A detail-oriented personality with solid documentation and reporting skills.
  • Preferably experience and/or knowledge in Vehicle, Powertrain and Cell Manufacturing
  • Understanding of engineering fundamentals as well as planning and building an electric vehicle plant
  • Motivated and strong work ethic.
  • Proven interest in Tesla's mission to accelerate the world’s transition to sustainable energy, through extracurricular activities, academic projects, passion projects, or equivalent experiences.
  • Fluent in English, preferably also in German


  • , 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