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Associate Power Systems Engineer, Megapack

Tesla

Associate Power Systems Engineer, Megapack

Tesla

Red Hill, Queensland

·

On-site

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Full-time

·

Today

What To Expect
Come join us as we build the power system of the future with clean and sustainable energy!

In this role you will help the Tesla team to design, model, and integrate our utility scale batteries to the electricity network, enabling the green energy transformation.

Tesla is looking for power systems engineers to build on our in-house modelling and grid connection study capability for our energy storage systems at mass scales.

You will interface with utilities, independent power providers, and system operators in technical power systems discussions, and influence our systems design to facilitate scaling on the grid.

You will be responsible for developing detailed models of our technology and controls strategies operating on the grid and forming microgrids of different sizes.

The role is diverse, fast-paced, and spans multiple levels of electrical, controls, firmware design, and grid-operations. You will work at the cutting edge of technology and help to define the future of the electrical grid.

What You'll Do

  • Act as the technical representative for power flow, short circuit, and dynamic modelling discussions with customers
  • Ability to articulate power systems analyses/results and the interaction of Tesla's technology with the grid
  • Work with both the product design team and the firmware/software teams to keep models current with the technology roadmap
  • Work with the product design team to feed power systems requirement into the product specification to influence system architecture
  • Work with customers and business development team to create models to represent the Tesla Energy system in power flow and dynamic modelling software tools
  • Continue to increase our in-house capability to model Tesla's product in power systems analysis software, to include microgrid applications with various interconnected resources and larger "macro" grid applications


  • What You'll Bring

  • Bachelor level study minimum in Electrical Engineering, with demonstrable knowledge of Power Systems Engineering
  • Hands on experience with at least two power system modelling tools: PSCAD, PSS\E, DIgSILENT, SSAT
  • Experience with modelling and simulations of inverter-based generation
  • Experience with performance of interconnection and engineering studies like stability, protection coordination, harmonics, insulation coordination, arch flash, and ground grid analyses
  • Strong working knowledge of control theory, ability to implement PID control
  • Ability to work cross functionally with customers, engineering, business development, and deployment personnel
  • Direct experience with AEMO is an advantage


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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