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Mechanical Design Engineer (m/w/d, all levels) - Seating - Berlin, Germany

Tesla

Mechanical Design Engineer (m/w/d, all levels) - Seating - Berlin, Germany

Tesla

Kreisfreie Stadt Berlin

·

On-site

·

Full-time

·

Today

What To Expect
As an Engineer in the Seat Engineering Department, you will be responsible for design engineering from concept to end-of-life, as well as problem-solving for existing products within the seating domain.

Seats are defined as products that provide comfortable support for vehicle occupants, functioning as dynamic, robotic structural components. Typical commodities include seating structures, mechanisms, actuators, foam, trim, plastics, harnesses, controllers, PCBs, and sensors.

In this role, you will engage in diverse engineering disciplines, including materials (e.g., steel, polymer composites, fabrics), manufacturing equipment, PCB design, firmware/software, production processes, mechanical design, supply chain coordination, and quality improvement. Team members act as both specialists and polymaths, leveraging their unique expertise to complement the team while embracing a “get the job done” ethos.

What You'll Do

  • Manage all phases of the product lifecycle: concept generation, selection, vehicle packaging and layout, detailed design, validation, manufacturing feasibility, production processes, and sustainability
  • Balance and negotiate product attributes, including safety, functionality, comfort, craftsmanship, cost, mass, schedule, and sustainability
  • Create 3D CAD models (e.g., using CATIA) and 2D drawings, including datum and fixation strategies, GD&T, and Bills of Materials (BOM) ownership
  • Interpret CAE simulation results and integrate findings into product designs, utilizing tools like DRBFM/DFMEA to ensure robust products meet requirements
  • Collaborate with Tesla’s Vehicle Engineering, Manufacturing Engineering, and Procurement teams to ensure system integration and compatibility, while communicating cross-functionally with Commercial, Quality, and Supplier interfaces
  • Produce technical documentation for official use and communication


  • What You'll Bring

  • Education in Mechanical Engineering, Mechatronics, or equivalent with several years of engineering experience, including a full-cycle design project
  • Strong fundamentals in mechanical engineering: statics, kinematics, dynamics, materials, mechanisms, and GD&T
  • Expertise in soft goods: designing with textiles, artificial leather, elastomers, fibers, cellular structures, and flexures
  • Proficiency with composite structures: designing, manufacturing, and testing fiber-resin composites
  • Skilled in technical communication: 3D modeling, 2D drawing, hand sketching, hands-on prototyping, data collection, and presentation
  • Evidence of exceptional ability, strong organizational skills, self-motivation, and the ability to manage progress through tight timelines while addressing technical challenges using first-principles thinking


  • Nice to have:
  • Experience in mechatronics: circuit design, PCB design, I/O, controls, embedded programming, and Arduino
  • Knowledge of biomechanics: human musculoskeletal anatomy, circulation, ergonomics, and pathology


  • , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts