About the Role

Uber is one of the fastest growing tech companies in history. Supporting this rapid business growth, while developers add features, creates a variety of reliability and efficiency challenges. We must ensure we have enough resources to operate the business and our software is stable and performant.

Uber is on the lookout for an outstanding PhD Software Engineering Intern to join our Performance and Capacity Engineering team in San Francisco (or Sunnyvale). Possible specializations include: frontend, backend, fullstack and data/ML engineering. 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, budgeting, ordering of hardware, and capacity management, hardware allocation, rate-limiting, as well as fleet-wide monitoring and complex analytics. All of this work helps guide key business decisions to grow Uber’s infrastructure while collaborating with platform teams, service owners, finance and leaders.

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 in on-premise data centers and cloud providers.

Basic Qualifications

• Currently enrolled in a PhD program in Computer Science or a related technical field.
• Basic understanding of distributed system fundamentals.
• Experience building distributed systems (for backend engineers) or interactive web applications (for frontend engineers) or big data (for data/ML engineers).
• Proficient in one of the following programming languages: Go, Java, Javascript, 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.
• Experience with a relational database (MySQL, PostgreSQL).
• Grit, drive and a strong sense of ownership coupled with an appetite for collaboration!