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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

(Senior) Process Engineer, Energy Products (m/f/d)

职能工程
级别资深
地点Freiburg Im Breisgau
方式现场办公
类型全职
发布今天
立即申请
What To Expect
At Tesla Engineering Germany GmbH in Freiburg, we’re building the future of sustainable energy by developing innovative power electronics for energy storage and vehicle charging systems. Join our team to collaborate across different engineering areas, solve meaningful challenges creatively and transfer concepts from initial design, through prototyping and testing into real-world solutions.

This is an opportunity to own key projects, use modern tools, and work in state-of-the-art facilities to create technologies that shape how energy systems evolve. You get to work on advancing power electronics used for Tesla products globally, thereby directly contributing to the acceleration of the world's transition to sustainable energy. 

What You'll Do

  • Design and develop cutting-edge manufacturing processes that enable high-volume production of products with improved quality, reduced costs, and increased efficiency
  • Apply a range of manufacturing techniques as well as quality assurance methods to ensure product excellence
  • Provide DFM (design for manufacturability) input to design team for process and yield improvements to meet high-volume production targets
  • Evaluate manufacturing processes to select and specify equipment solutions by defining requirements through CAD design, engaging with suppliers to develop fixtures and commissioning them for operational deployment
  • Optimize manufacturing process parameters using data-driven methodologies and scientific analysis to enable innovative product development and ensure superior quality standards
  • Conduct detailed testing and validation of installed machinery, including on-site and off-site acceptance testing (SAT/FAT), to ensure robustness and quality


  • What You'll Bring

  • 4+ years of experience as a Manufacturing Engineer or similar, with direct responsibility for developing, deploying, ramping, and optimizing complex assembly processes in automated high-volume production environments
  • Expertise with lean and six sigma principles, including proficiency in either of the following tools: DMAIC, Root Cause Analysis (RCA), Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), Process Capability Analysis (PCA), statistical process control (SPC), and Kaizen
  • Proven ability to collaborate cross-functionally with design teams to refine product designs through Design for Manufacturability (DfM) principles, ensuring high-volume manufacturability and efficiency
  • Advanced skills in data analytics, including statistical analysis and visualization to make data-driven decisions and drive business results
  • Programming skills in G-Code, PLC and other machine related programming languages are a plus
  • Knowledge in isolation process development for power electronics applications is a strong bonus
  • Demonstrated excellence in process development for metal joining processes like laser welding, sintering, brazing and/or soldering including transitioning processes from prototype to production


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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