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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
Compensation and Benefits
In addition to a competitive compensation package, Tesla Australia & New Zealand is pleased to offer the following benefits for permanent employees:
- Employee Stock Purchase Plan (ESPP)
- Parental leave (no minimum employment period)
- Primary carers – 18 weeks at full pay or 36 weeks half pay
- Secondary carers – 6 weeks full pay
- Employee Vehicle Loan Program
- Novated Leasing (AU only)
- Well-being Fund – An annual allowance for all employees to support their well-being in ways that are meaningful to them
- Bike to work – $10 per day if you cycle to work
- Birthday Leave & Volunteer Leave
Some eligibility criteria may apply, benefits detailed above are subject to change / withdrawal at Tesla’s discretion with no prior notice.
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About Tesla

Tesla
PublicA 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
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