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Internship, Software Engineer Opticaster, Energy Engineering; Fall

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Tesla
Apprenticeship/Internship position
Listed on 2026-06-13
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 20 - 50 USD Hourly USD 20.00 50.00 HOUR
Job Description & How to Apply Below
Position: Internship, Software Engineer Optic aster, Energy Engineering (Fall 2026)

Internship Program at Tesla

Optic aster’s mission is to accelerate the world’s transition to sustainable energy by optimizing how batteries are charged and discharged to maximize value for customers and the grid. Our software powers Tesla’s energy products, including Megapacks, Powerwalls, Virtual Power Plants, and microgrids, ensuring they operate efficiently at scale.

About The Team

As an intern on the Optic aster team, you will focus on developing and maintaining software systems that support real-time energy management. You will work alongside experienced engineers to build energy storage optimization models, develop monitoring tools to ensure system reliability, and improve the scalability of our software infrastructure. This internship offers a unique opportunity to gain hands‑on experience with real-world energy systems and cutting‑edge technologies that enhance grid stability and accelerate the adoption of renewable energy.

What

You’ll Do
  • Develop and maintain scalable software solutions for energy storage optimization, ensuring reliable performance in production.
  • Design and implement features that improve customer experience and engagement.
  • Build and enhance cloud‑based tools to analyze system performance and monitor our global fleet.
  • Contribute to the development of simulation and testing frameworks to validate algorithm effectiveness.
  • Identify and address performance bottlenecks related to infrastructure, computation, and memory efficiency.
  • Apply data science and machine learning techniques to improve forecasting and decision‑making.
What You’ll Bring
  • Pursuing a degree in Computer Science or a related field.
  • Proficiency in Python or other relevant programming languages, with experience in Linux environments and Git.
  • Familiarity with cloud computing and big data technologies such as AWS, Spark, Airflow, or Kubernetes.
  • Experience with software development and an interest in deploying code to production environments.
  • Strong analytical and problem‑solving skills, with the ability to work in a fast‑paced team environment.
  • Passion for renewable energy and energy storage, with a bonus for prior experience in the field.
  • Experience with machine learning techniques, particularly in time‑series forecasting or optimization.
Benefits
  • 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/hour + 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.

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Position Requirements
Less than 1 Year work experience
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