• Currently enrolled in a Bachelor’s, Master’s, or Ph D Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields at time of application
• Programming experience with at least one modern language such as Python, Java, C++, or C# including object-oriented design
• Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our interns write real software and collaborate with experienced software development engineers (SDEs) who guide interns on projects that matter to our customers.

Key job responsibilities

• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services.
• 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.
• Work in an agile environment to deliver high quality software.

A day in the life
As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimisation, scalability, and security – just to name a few.

In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalise for customers. We make the impossible, possible.

• Previous technical internship(s) if applicable
• Experience with distributed, multi-tiered systems, algorithms, and relational databases
• Experience in optimization mathematics such as linear programming and nonlinear optimisation
• Ability to effectively articulate technical challenges and solutions
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly
• Experience with Simulation or Motion Planning & Perception
• Experience with Simulation: C++, Python, Unreal Engine, Unity, or ROS, etc.
• Experience with Motion Planning & Perception: 3D/Object/Semantic Mapping, Active Vision, Semantic Segmentation, Path Planning, or Interactive Robot, etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.