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Senior Civil Engineer (m/w/d) - Gigafactory Berlin - Brandenburg

Tesla

Senior Civil Engineer (m/w/d) - Gigafactory Berlin - Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
As a Design Engineer in Tesla's Civil team, you will be responsible for design development of civil infrastructure projects following the HOAI phases of design / equivalent from concept to execution for all kind of infrastructure project i.e. Underground utility infrastructure such as rainwater, drinking- and sewage water, pressure lines (Gas, Hydrant lines) and traffic infrastructure such as roads, parking areas, pedestrian areas, etc.

You will be joining a team of driven engineers with a huge scope, reach, and potential impact.

What You'll Do

  • Develop design for civil infrastructure projects equivalent of HOAI phases of design / equivalent from concept to execution for all kind of infrastructure project i.e. roads, parking areas, pedestrian, infiltration basins, etc.
  • Work in a team of Civil engineers, traffic simulation and drafters also with focus on priorities in the project
  • Working knowledge of German building codes and civil infrastructure design standards.
  • Participate in all project phases, including conceptual designs, presentations, permitting design, schematic design, design development at various stages, construction documents and production, RFI and field validation work
  • Recent understanding of BlmSchG projects and projects in water protection zones
  • Experience with complicated infrastructures with analysis of tradeoffs for a vehicle factory on tight timeline and building boundaries
  • Collaborate with design team, consultants, contractors, fabricators, regulatory agencies and other vendors to meet overall project objectives
  • Produce graphic presentations, and construction drawings
  • Assist with the review of RFI’s and Submittals during the construction administration portion of the project
  • Drive and obtain permits with all local authorities and departments
  • Perform design option analysis for cost efficiency, constructability, etc.


  • What You'll Bring

  • Master’s degree in civil or the equivalent in experience and evidence of exceptional ability
  • Minimum of 5 years of related project experience
  • Ability to work with non clear defined targets and minimum of information
  • Experience working with permitting, procurement, construction and checking engineers, coordinating multiple manufacturing, operation and engineering disciplines
  • Proficiency in 2D/3D software, Civil3D
  • Knowledge of relevant civil codes, hydraulic design, environmental requirements
  • German and English proficiency required; more is a plus


  • , 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