refresh

Trending Companies

Trending

Jobs

JobsTesla

Manufacturing Engineer, Tabless/Cell Assembly (m/w/d) – Gigafactory Berlin-Brandenburg

Tesla

Manufacturing Engineer, Tabless/Cell Assembly (m/w/d) – Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation and efficiency. Gigafactory Berlin-Brandenburg forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we achieve our goals. We are looking for you to continue and expand this success story together.

The Cell Manufacturing Engineering team at Tesla is looking for a highly motivated Manufacturing Engineer to contribute to the development and improving of cell manufacturing equipment and processes for our cutting-edge Tesla Energy Batteries Cells. The Cell is one of the most complex and challenging components designed and manufactured at Tesla. This is an exciting opportunity to contribute to Tesla’s world class manufacturing facilities.

Tesla is a fast-paced environment where you will work on a critical subsystem of an incredibly exciting product. In addition to developing working on ramping the line the Manufacturing Engineer works with cross-functional teams to test, validate, and roll-out equipment to production. The ideal candidate takes pride in his/her hands-on work, analytical ability, organizational skills and attention to detail. The candidate appreciates an environment where superior work is encouraged, noticed and rewarded and where individuals carry tremendous responsibility. The candidate looks forward to learning an incredible amount on the job.

What You'll Do

  • Own/Lead development of new/innovative manufacturing processes from proof of concept through to full scale production that enable improved battery performance and/or cost
  • Drive ramp of new production lines by characterizing baseline performance and capability of each system and drive actions to maintain or improve performance as measured by product quality and tool availability
  • Lead product design for manufacturability (DFM), DFMEA
  • Develop and manage PFMEA, DFMEA risk assessments to prioritize process improvement projects and ensure adequate metrology and controls are in place
  • Drive root cause analysis through process and equipment expertise, derive & execute DOE’s accordingly, characterize boundary conditions and optimize process for manufacturability and quality
  • Work independently and with vendors to build Proof of principle tooling/fixturing for dev , root cause of failures, propose design or component changes, and implement and validate equipment modifications
  • Analyze production with statistical software (JMP or Minitab preferred) to understand manufacturing uptime, availability, and reliability metrics-yield, OEE, cycle time, quality and investigate bottlenecks to identify root cause and countermeasure to maximize throughput
  • Troubleshoot and recover processes by PLC, HMI, or tool management software, and implement changes/improvements
  • Ensure manufacturing lines meet uptime, availability and reliability metrics – OEE, cycle time, quality and first time through
  • Generate and maintain documentation including machine and process specifications, drawings, BOM, spare parts, PFMEA, control plan, process flow chart


  • What You'll Bring

  • Degree or relevant experience in Mechanical Engineering, Manufacturing Engineering
  • 3+ years of experience in a production environment and/or proven manufacturing development track record. Experience with high speed, high volume automated manufacturing equipment (Cell Assembly, Part feeding ,packaging, Leak testing etc) a plus
  • Proficiency with 3D (SolidWorks, 3Dx, Catia) and 2D CAD (AutoCAD) platforms
  • Proficiency in Python, SQL and data visualization (i.e. Tableau, Grafana, Power BI)
  • Expertise in Statistical Process Control (SPC) and process capability
  • A passion to implement and work on ramping a manufacturing line including experience with mechanical automation equipment, robots, design of electromechanical systems, PLCs, motion controls
  • Experience with vision hardware/software is a plus
  • Must be able to work in a fast-paced environment, occasionally requiring extended hours
  • Proven ability to operate under pressure while managing multiple priorities simultaneously
  • Excellent communication skills, both verbal and written


  • , Tesla

    Total Views

    0

    Apply Clicks

    0

    Mock Applicants

    0

    Scraps

    0

    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