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(Associate) Production Engineering Manager Cell Assembly, Battery Cell (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

(Associate) Production Engineering Manager Cell Assembly, Battery Cell (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

必备技能

Excel

What To Expect
Tesla accelerates the world’s transition to sustainable energy. Revolutionary strategies and products have been developed and scaled rapidly, made possible by exceptional speed, innovation, and efficiency.

The ideal candidate has a proven track record of building new teams and leading complex, high-volume production teams in areas like cell/battery production, semiconductors, integrated circuits, displays, etc. This role will lead engineers to improve, optimize and develop the high-throughput Cell Assembly manufacturing lines. This is a cross-functional role that requires coordination between many different teams within of Tesla.

What You'll Do

  • Lead engineering teams to refine and enhance high-throughput manufacturing processes, prioritizing efficiency, quality, and cost targets.
  • Maintain a culture that prioritizes safety and quality through communication, action, and accountability
  • Partner with operations teams and other stakeholders to resolve bottlenecks, improve line productivity, and ensure alignment with production goals.
  • Use validated production data to evaluate issues, select appropriate methodologies, and implement solutions within established procedures.
  • Allocate personnel and financial resources to meet departmental objectives, balancing competing demands and tight deadlines.
  • Mentor and develop engineering staff, ensuring expertise in process optimization and adherence to Tesla’s high standards.
  • Suggest improvements to company policies and establish procedures that directly impact organizational performance.


  • What You'll Bring

  • Bachelor’s or advanced degree in a technical discipline (e.g., mechanical engineering, industrial engineering) or equivalent experience.
  • Demonstrated success leading engineering teams focused on designing and optimizing high-volume manufacturing systems.
  • Experience in mass production industries (e.g., battery cell manufacturing, automotive, semiconductors, consumer electronics, energy systems, beverage).
  • Proficiency in analyzing and improving production metrics (efficiency, quality, safety, throughput, costs).
  • Ability to work under pressure, assess dynamic conditions, and prioritize conflicting demands.
  • Operate independently to achieve goals, proposing policy changes and establishing procedures that affect the organization.
  • Develop schedules, budgets, and performance targets while managing risks that could impact short-term objectives.
  • Strong communication skills in English (written and verbal) for cross-functional coordination and mediation. German language skills are a plus.
  • Advanced MS Office fluency (Word, Excel, PowerPoint) for data analysis and reporting.


  • , Tesla

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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

    3.8

    10条评价

    工作生活平衡

    2.2

    薪酬

    3.8

    企业文化

    3.5

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐给朋友

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,398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

    面试经验

    4次面试

    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