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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Mechanical Engineer, Energy, Tooling & Process, APAC

RoleManufacturing
LevelMid Level
LocationRed Hill, Qld
WorkOn-site
TypeFull-time
PostedToday
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What To Expect
The Mechanical Engineer will be part of the Tesla Energy Service Engineering function, responsible for the design, documentation, integration, and training of custom service tooling/sustaining hardware and procedures to assist in the rapid development and maintenance of Tesla’s energy storage solutions, including Megapack, Super Charger and Powerwall products.

We are looking for a skilled and motivated individual who will keep pushing this evolving energy industry forward by leading all local service tooling/sustaining mechanical design in the APAC region through problem statement, concept, prototype, pilot to production.

This is an opportunity to become a key part of a fast-growing world-class organization, supporting the latest commercial energy technologies.

What You'll Do

  • Own mechanical design, testing, and release of service/installation tooling used in commercial energy applications.
  • Utilize engineering principles to create test and rollout plans for designs. Customize test plans to local regulations in the APAC region (local UL, CE, ROHS compliance release of product included).
  • Work with local field service and technical support teams to create documentation and training to support field commissioning and service actions and ensure consistent and stable global service operations.
  • Capture feedback from the field to inform current/future design of tools; Definition specifications of redesign phase and prioritization of said feature intake.
  • Work with vendors to perform DFM/DFA studies to reduce cost and improve performance of service tooling for large volume, particularly for local distribution in APAC.
  • Ensure program launch of new product in the APAC region has a certain “TPT” (Tooling, Process, Training) readiness.


  • What You'll Bring

  • Bachelor’s or Master’s degree in Mechatronics, Mechanical Engineering, or Equivalent
  • Proven experience with mechanical design and drafting. Equipment or industrial design is a plus
  • Basic understanding of electrical design fundamentals.
  • Ability to solve complex problems using first principles and complete projects under tight timing constraints.
  • Experience with 3D CAD, CATIA or Solidworks or FEA is preferred.
  • Demonstrated experience building mechanical and electrical systems.
  • Comfortable defining requirements, assuring outsourced design, and constructively challenging suppliers and contractors.
  • RPEQ / CPEng qualification or eligbility to pursue certification


  • , 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

    10 reviews

    3.8

    10 reviews

    Work-life balance

    2.3

    Compensation

    4.0

    Culture

    3.2

    Career

    4.1

    Management

    2.8

    65%

    Recommend to a friend

    Pros

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    Cons

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    Salary Ranges

    1,403 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total per 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