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Process Engineer, Drive Unit/Battery Pack (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Process Engineer, Drive Unit/Battery Pack (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is seeking a self-motivated Process Engineer to ensure continuous production quality and enable world-class manufacturing of Tesla’s cutting-edge battery packs.

The Battery Pack provides energy storage for every Tesla vehicle. This is an exciting opportunity to develop world-class process standards for Tesla’s next-generation battery packs. Tesla is a demanding and fast-paced environment where you will work on a critical subsystem in world-changing products.

The Battery Process Engineer will also work with cross-functional teams to aggressively ramp newly launched products to full-scale production and beyond. The Battery Process Engineer’s primary responsibilities are: Eliminate waste in the manufacturing system, identify trends and signals in process data, create game plans and maintenance work orders in response to these trends, and drive long-term line improvements to yield cycle time, and process capability.

What You'll Do

  • Drive commissioning and ramp of manufacturing equipment systems, in custom high-speed automated manufacturing equipment, and qualify them using statistically valid data sets and workflows.
  • Work collaboratively as the equipment expert to ensure production lines run safely, efficiently, and produce high-quality parts.
  • Become the owner/subject matter expert to drive equipment-related process improvements, including detailed troubleshooting and root cause analysis.
  • Drive manufacturing ramp by characterizing baseline performance and improving equipment with laser weld systems; ensure manufacturing lines meet OEE goals.
  • Review critical process metrics daily for statistical shifts from nominal and develop action plans to address issues.
  • Identify and/or develop critical process monitors and metrics for battery module and pack manufacturing to diagnose issues, efficiently identify root causes, and implement both reactive and proactive solutions.
  • Guide and develop roadmaps for aggressive improvement to OEE metrics: Yield, Cycle Time, Availability, and Cost. Report metrics to upper management.
  • Troubleshoot and recover processes using PLC, HMI, or tool management software, and implement changes or improvements.
  • Build training materials, maintenance routines, and related documentation for equipment life cycle management.
  • Lead safety and ergonomic improvements to production equipment that meet or exceed regulations and best practices.
  • Identify equipment critical spare parts and ensure sufficient coverage to prevent extended downtime.
  • Provide direction and mentorship to third-party machine/automation suppliers and internal machine building teams; participate in supplier/internal equipment FAT and SAT.
  • Develop and manage FMEA/risk assessments to prioritize equipment improvement projects and ensure effective repair strategies.
  • Manage workload with a positive attitude as a team player in a collaborative work environment.
  • Drive continuous improvement and support activities for engineering and manufacturing, including 5S, Lean manufacturing activities, material handling improvements, production line configuration, and safety procedures.


  • What You'll Bring

  • Degree in Mechanical, Mechatronics, or another Engineering discipline (or equivalent experience) with 3 to 5 years of relevant experience in a high-volume manufacturing environment.
  • Experience with equipment using vision systems, with strong hands-on experience in pilot and high-volume manufacturing, including hardware and software selection.
  • Demonstrated experience in ramping high-volume, automated, and semi-automated manufacturing lines, with creative capacity for developing new, faster, and cost-effective production methods.
  • Strong understanding of engineering fundamentals and the ability to apply them toward manufacturing process development.
  • Ability to derive data-supported root causes and propose strong countermeasures using statistical tools (e.g., Minitab) and SQL for data extraction.
  • Structured thinking and exceptional problem-solving skills, proven through root cause analysis and process improvement projects.
  • 3D CAD design experience (SolidWorks, CATIA, AutoCAD) for production equipment, including creating/validating layouts, tooling drawings, pneumatic, and electrical schematics.
  • Hands-on experience with mechanical/electrical work on production lines and capability to maintain process and equipment documentation (e.g., spare parts lists, PM plans, control plans, PFMEAs).
  • Familiarity with manufacturing systems like Ignition Automation, two-part adhesives, fastener rundown traces (Atlas-Copco), and vision inspection systems (e.g., Keyence 2D image inspection and profilometry).
  • Fanuc robot programming (nice to have).
  • Availability for domestic and international travel as required.
  • Passion for making high-quality products with a continuous improvement mindset and a capacity for managing simultaneous activities and competing priorities.
  • Knowledge and understanding of battery module technology (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