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SDE Intern (Summer)

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Amazon

Dec 14, 2024

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • East Palo Alto

Requirements

  • Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application
  • Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
  • Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
  • Work 40 hours/week minimum and commit to 12 week internship maximum
  • Expected graduation date between 10/2025 - 9/2028.
  • Knowledge of programming languages such as C/C++, Python, Java or Perl
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases

Responsibilities

  • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
  • Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.
  • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  • Ability to design and code the right solutions starting with broadly defined problems.
  • Work in an agile environment to deliver high-quality software.

FAQs

What is the duration of the internship?

The internship lasts a maximum of 12 weeks.

What are the working hours for the internship?

Interns are expected to work a minimum of 40 hours per week.

What qualifications are needed to apply for this internship?

Applicants must be enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at the time of application.

What programming languages should I be familiar with?

Familiarity with at least one modern programming language such as Java, Python, C++, or C# is required.

Is prior experience with distributed systems necessary?

While not mandatory, experience with distributed, multi-tiered systems is preferred.

Will I receive mentorship during the internship?

Yes, all interns are matched with a manager and a mentor to guide them through their projects.

Can I apply if I am graduating after September 2028?

No, applicants must have an expected graduation date between October 2025 and September 2028.

Does Amazon have a commitment to diversity and inclusion?

Yes, Amazon is committed to creating a diverse and inclusive workplace.

Is there an opportunity to work on significant projects during the internship?

Yes, interns will have the chance to work on impactful projects that contribute to Amazon's technology.

What is the pay range for this internship?

The base pay for this position ranges from $47.84/hr in our lowest geographic market up to $96.15/hr in our highest geographic market.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.