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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Factory Scheduler (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
类型全职
发布今天
立即申请

必备技能

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


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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