About the Internship
Join Uber's 2025 Software Engineering Internship program, designed for students at Carnegie Mellon University. This program offers a unique opportunity to gain real-world experience in a fast-paced, team-based environment. As an intern, you will have a direct impact on the customer experience for riders, drivers, eaters, restaurant and business owners, and cities alike.
What You'll Do
- Work with your manager and mentor to drive exciting, ambiguous, previously unsolved projects from end to end.
- Design, develop, and/or test software applications using Uber's technology stack.
- Apply technical knowledge to evaluate complex data, development, or projects in order to resolve technical issues.
- Build software components to be integrated into a fully functional software system.
- Be motivated to own projects and push them forward with independence.
Basic Qualifications
- Actively pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related technical field at Carnegie Mellon University with at least one remaining semester of school left after completion of the internship.
Preferred Qualifications
- Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or publications.
- Programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc).
- Experience building tools/infrastructure.
- A desire to be part of a team that delivers impactful results every day.
- A commitment to writing understandable, maintainable, and reusable software.
- An innate desire to deliver and a strong sense of accountability for your work.
- Ability to learn new languages and methodologies.
Why Join Us?
At Uber, we're reimagining the way the world moves. From how you get home from work, to how you eat meals, or how you move huge shipments of anything, the work we do is shaping the future of mobility and changing the way people live. To get there, we've brought together a collective of optimists and doers to tackle some of the most ambitious problems of our time.
We believe in learning by doing—and that there is no better classroom than real-world experience. Join us to move yourself—and the world—forward.
Benefits Extracted with AI
- Mentorship and feedback
- Real-world experience
- Team-based environment
- Impactful projects
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