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JobsTesla

Internship, Fullstack Engineer, Infrastructure Engineering (Summer 2026)

Tesla

Internship, Fullstack Engineer, Infrastructure Engineering (Summer 2026)

Tesla

Fremont, California

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On-site

·

Internship

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Today

What To Expect
Consider before submitting an application:

This position is expected to start around May 2026 and continue through summer term (ending approximately August 2026 or later, if availble). We ask for a minimum of 12 weeks, full-time 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.

About The Team
Tesla is seeking passionate software engineering students who thrive in a fast-paced environment and want to apply CS concepts to real world projects. Our Software Engineering teams are responsible for many of Tesla’s innovations.

What You'll Do
Your application will be considered across all opportunities for the teams listed below:

Applications Engineering
  • We are currently looking for an intern to help architect, build, manage and operate the Infrastructure & applications for Tesla’s Engineering teams including Connected Systems, Firmware and Autopilot. In this role, you will plan, design, implement as well as manage ongoing Infrastructure components that powers the development of Tesla’s Vehicles and technologies


  • Business Ops & Infrastructure
  • The Infrastructure Engineering team designs and implements a diverse set of services and tools that power our internal software and processes. The projects you support will have a significant impact on the business and will allow us to grow at exceptional speeds. A strong candidate will either be an excellent software generalist, or experience in fullstack


  • Service Software Engineering
  • The Service Engineering team develops tools, processes, and informational content that multiplies the efforts of the field support team. They bridge the gap between what happens with our products in the field and how they’re designed in engineering. Interns on this team will work on areas ranging from software tools for diagnostics to product support


  • What You'll Bring

  • Currently pursuing a degree in Computer Science, Information Technology or a related field with a graduation date between 2026-2027
  • Proficiency in one or more of the following developer skills: Python, Go, Java, C/C++ or other common industry languages
  • Experience with building and/or maintaining infrastructure and services
  • Excellent grasp of fundamental computer science concepts and ability to write well-organized code
  • Eagerness to collaborate cross-functionally with other engineering teams while able to work independently; detail-oriented and execution focused
  • Genuine curiosity and willingness to understand how our products are designed, built and how they operate
  • Nice to haves: React, JS, Angular, CSS MySQL, MS SQL, Oracle


  • Benefits
    Compensation and 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

    $40.00 - $56.00/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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    About Tesla

    Tesla

    Tesla

    Public

    A 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