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Internship, Energy Optimization (Fall 2024)

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14d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • You must be pursuing a relevant degree with knowledge of software engineering, data analysis, EV charging technologies, and programming languages. Strong problem-solving and collaboration skills are essential.
  • You will analyze data, develop software tools, and use machine learning techniques to optimize energy operations, support decision making, and enhance the charging experience for Tesla customers.

Off-cycle Internship

Software Engineering, Engineering•Palo Alto


  • The Charging Data & Modeling team uses large-scale data analysis, machine learning, and modeling to retrieve actionable insights for enhancing the charging experience while minimizing the costs to Tesla. They also build the software tools and pipelines needed to maximize the leverage of these insights across our global operations. This is a very exciting team as you will be directly supporting the largest EV Charging network in the world and be on the team responsible for all the data and model driven decisions.


  • Currently pursuing a degree in a relevant program with a focus on Power and Energy Systems in Software Engineering, Electrical Engineering, Operations Research, Data Science or a related field with a gradation date between 2024-2025
  • Knowledge of software engineering principles including usability, testability, modularity, and object-oriented design
  • Familiarity with building software tools and pipelines for large scale data analysis and modeling
  • Excellent problem-solving and critical-thinking skills
  • Strong communication and collaboration abilities to work with global operations teams
  • Understanding of the EV charging industry and related technologies
  • Experience with programming languages such as SQL, Python, or JavaScript

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Apply software engineering principles, such as usability, testability, modularity, and object-oriented design, to ensure the development of reliable and efficient charging network solutions
  • Build software tools and pipelines to effectively leverage insights and models for decision-making across global operations
  • Conduct large-scale data analysis to extract meaningful insights for enhancing the charging experience for Tesla customers
  • Utilize machine learning techniques and modeling to develop predictive models for charging network operations
  • Support in making data-driven, model-based decisions that influence the overall charging network strategy and operations
  • Contribute to cross-functional collaboration to optimize the charging experience
  • Collaborate with different teams to identify opportunities for cost optimization in charging operations


Work type

Full time

Work mode



Palo Alto


  • Aetna PPO and HSA plans > 2 medical 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)
  • LGBTQ+ care concierge services
  • 401(k), Employee Stock Purchase Plans, and other financial benefits
  • Company Paid Basic Life, AD&D, and short-term disability insurance
  • Employee Assistance Program
  • Sick time after 90 days of employment 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