Internship, Residential Energy Device Software Engineer, Energy Engineering (Fall 2026)

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Internship, Residential Energy Device Software Engineer, Energy Engineering (Fall 2026)

| Job Category | Engineering & Information Technology | | Location | Palo Alto, California | | Req. ID | 273810 | | Job Type | Intern/Apprentice |

What to Expect

Consider before submitting an application:

This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

Internship Program at Tesla

The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.

Tesla’s mission is to accelerate the world’s transition to renewable energy. This isn’t just a slogan to us. We are building the largest battery storage systems in the world. We are constantly expanding the Supercharger network, the largest electric car charging network ever. We are growing the largest fleets of residential solar, battery storage,and car charging devices in many countries around the world. And we need your help.

The Tesla Energy Device Software team is looking for a Software Engineer to build control and configuration software for residential energy products such as Powerwall, Solar Inverter, or Wall Connector. These products resemble other, more familiar IoT products in many ways: They need to be installed, configured, and diagnosed. Once operational, they need to run autonomously, respond to commands, and provide customers with useful telemetry. All of this requires control and configuration tools that are reliable and resilient, which is where you come in. With your help, we can make installing more renewable energy technology easier, faster, and cheaper.

Our software stack is as diverse as our products. It includes embedded and Linux-based systems, web and native apps, cloud services and local IoT protocols. Pragmatism, willingness to dive into new codebases, eagerness to work with stakeholders, and engineering leadership are key strengths we expect you to bring to the table.

Location: Palo Alto, CA

What You’ll Do

• Collaborate with product managers and engineers from other disciplines to develop designs and specifications
• Contribute to overall system architecture
• Develop modern applications for installation, configuration, and diagnosis
• Provide technical leadership and innovation to improve developer productivity, product reliability, and overall system resiliency
• Work with other engineering teams to develop APIs

What You’ll Bring

• Currently pursuing a degree in Computer Science, Computer Engineering, or related field
• Ability to multi-task, prioritize and work in an extremely fast-paced, collaborative environment
• Internet and IoT protocols (e.g. HTTP, REST, websockets, gRPC, oauth, Matter)
• Application and systems languages (e.g. C, C++, Rust, golang, Java, C#)
• Embedded or Linux-based IoT environments (e.g. FreeRTOS, Arduino, Raspberry Pi, Android) and protocols (CAN, RS-485/UART, Ethernet, WiFi, BLE)
• Experience writing unit tests, software-in-the-loop tests, and practicing test-driven development
• Experience with Web development (e.g. JavaScript, React), data analysis/data science tools (e.g. Pandas, Hadoop), or common cryptography mechanisms (e.g. TLS)

Compensation and Benefits

Benefits

• As a full-time Tesla Intern, you will be eligible for:

• Medical plans > plan options with $0 payroll deduction

• Family-building, fertility, adoption and surrogacy benefits

• Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution

• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA

• Healthcare and Dependent Care Flexible Spending Accounts (FSA)

• 401(k), Employee Stock Purchase Plans, and other financial benefits

• Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)

• Employee Assistance Program

• Sick and Vacation time (Flex time for salary positions), and Paid Holidays

• Back-up childcare and parenting support resources

• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

• Commuter benefits

• Employee discounts and perks program

• Expected Compensation

• $20.00 - $50.00 + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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