We’re looking for PhD candidates to intern on the Capacity & Efficiency Engineering team, a part of the Platform Engineering team, during summer 2025 (12 weeks). As a PhD Software Engineering Intern, you will help define a comprehensive vision and build core products across a variety of focus areas such as: capacity planning, forecasting, capacity management, rate-limiting, tech strategy for migration to the cloud fleet-wide monitoring, and complex analytics. In this role you will work closely with a highly cross-functional team, including platform teams, service owners, finance and various leaders building a broad understanding of Uber’s consumption of resources across its entire tech stack, identify cost-savings opportunities and develop software guiding key business decisions to grow Uber’s infrastructure in the cloud while driving down costs. **About the Team** The Capacity & Efficiency Engineering team, part of Platform Engineering, focuses on optimizing Uber’s infrastructure by developing core products for capacity planning, forecasting, resource management, and cost efficiency. The team operates across San Francisco, Seattle, Amsterdam, and India, embracing curiosity, data-driven insights, and creative problem-solving. **What You’ll Do** - Work with teams across Uber to identify, model, and project capacity needs over time, help scale services and platforms within our capacity budget, and find opportunities to make Uber more efficient - Architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber’s infrastructure across a variety of sophisticated workflows and business processes - Contribute to ensuring Uber efficiently uses resources **Basic Qualifications** - Currently enrolled in a PhD program in Computer Science or a related technical field - Candidates should have at least one semester/quarter left of their education after finishing the internship - Basic understanding of distributed system fundamentals - Experience building distributed systems (for backend engineers) or big data (for data/ML engineers) - Proficient in one of the following programming languages: Go, Java, C/C++. Good scripting skills and the ability to pick up new ones **Preferred Qualifications** - Experience with fullstack development - Experience with data engineering, data pipelines, big data systems, data science, SQL, analytics - Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis - Grit, drive and a strong sense of ownership coupled with an appetite for collaboration For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.