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Software - Energy Optimization Internship (Spring 2021)
Palo Alto, CA
Job/Internship Description
Disclaimer: This position is expected to start around January/February 2021 and continue through the spring term (i.e. May/June 2021) or into summer 2021 if available. Please consider availability before submitting an application.
About the team
The Energy Optimization team develops and maintains the high-level control systems for Megapacks, Powerwalls, Virtual Power Plants, and microgrids. Our systems continuously forecast solar production, energy demand and prices, and then determine optimal control strategies and dispatch energy in real-time. We have repeatedly demonstrated success in residential, commercial, and utility-scale settings.
What to expect
Your projects may include new control strategies, the extension of our products to new applications and markets, or infrastructural initiatives necessary to support hundreds of gigawatt-hours around the globe. Depending on your focus area, you may contribute to embedded control systems, cloud control systems, or to offline training platforms.
You will be expected to learn fast, assume ownership of your projects, and make sustained contributions to our systems.
Requirements
- Currently working towards an advanced degree in a relevant program such as Software Engineering, Computer Engineering, Electrical Engineering or Computer Science
- Personal or academic projects that demonstrate your ability to address complex problems with simple solutions
- Excellence in a couple of languages (we mostly use Scala and Python) and proficiency in others
- Complete comfort in a Linux environment and with Git
- A strong predilection for good software and the processes that make it
- Excellent problem solving and communication
- A passion for sustainable energy
- Nice to have: experience with containerization and orchestration, AWS, continuous integration and deployment, configuration control, monitoring and alerting
- Nice to have: experience with machine learning (especially time-series forecasting) and advanced numerical methods (e.g. linear optimization, distributed control)
- Nice to have: experience modeling physical systems and/or markets
- Nice to have: experience with IoT platforms
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Position Summary
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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