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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Internship, Site Reliability Engineer, Applications Engineering (Summer 2026)

직무DevOps
경력미들급
위치Fremont, California, United States
근무오피스 출근
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필수 스킬

Python

Java

React

SQL

Go

Angular

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.

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.

About the team:

Tesla is seeking highly motivated software engineering students who are interested in the field of Site Reliability Engineering. Our SRE’s are incredibly talented and responsible for planning, designing and managing key infrastructure components. Interns in this organization will be part of a collaborative team of engineers who push the boundaries of Tesla products and services.

Locations: Fremont, CA; Palo Alto, CA

What You'll Do

  • Collaborate with a cross-functional team of SRE engineers, architects, and other stakeholders to understand complex application architectures, enabling the implementation of an effective top-down monitoring strategy for holistic service visibility
  • Build, maintain, and monitor dashboards for critical infrastructure
  • Create and tune alerts for network and hardware so that potential problems are identified, routed, and remediated early
  • Facilitate knowledge sharing by creating and maintaining detailed and comprehensive documentation, diagrams, and runbooks
  • Respond to and resolve support requests in a timely fashion while managing project timelines and other responsibilities


  • What You'll Bring

  • Currently working towards a degree in Computer Science or related field of study 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
  • Nice to haves: React, JS, Angular, CSS MySQL, MS SQL, Oracle
  • 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


  • 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.

    , Tesla

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    10개 리뷰

    3.8

    10개 리뷰

    워라밸

    2.3

    보상

    4.0

    문화

    3.2

    커리어

    4.1

    경영진

    2.8

    65%

    지인 추천률

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,403개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 후기

    후기 4개

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts