2025 PhD Software Engineer Intern (Programming Systems Group), United States

We’re looking for Ph.D. candidates for internships within the Programming Systems Group at Uber for the summer of 2025 (12 weeks). You will be embedded within our engineering team, working closely with specialists, software developers, and product managers. As a Ph.D. intern, you will work on bold and exciting problems under the supervision of an experienced mentor while independently pursuing in-depth research in the problem space. **About the Team** The [Programming Systems Group](https://uber.com/about/science) at Uber aims to accelerate performance, reliability, and developer productivity across various computational domains. We focus on research in programming languages spanning Go, Java, Swift, Kotlin, and TypeScript, to name a few. The research includes the right mix of innovation, advanced development, and critical extensions to core infrastructure to address novel problems in computer science and adjoining domains. The team's recent work includes static analysis tools such as [NullAway](https://github.com/uber/NullAway), [NilAway,](https://github.com/uber-go/nilaway) [Last Diff Analyzer](https://github.com/uber-research/last-diff-analyzer), and [Piranha](https://github.com/uber/piranha/); dynamic analysis tools such as [CRISP](https://www.usenix.org/conference/atc22/presentation/zhang-zhizhou), [datarace detection](https://dl.acm.org/doi/10.1145/3519939.3523720), and [leakprof](https://conf.researchr.org/details/cgo-2024/cgo-2024-main-conference/36/Unveiling-and-Vanquishing-Goroutine-Leaks-in-Enterprise-Microservices-A-Dynamic-Anal); optimization tools such as swift protocol [specialization](https://dl.acm.org/doi/10.1145/3360590), [code-size optimization](https://dl.acm.org/doi/10.1109/CGO51591.2021.9370306), and [profile-guided optimization](https://go.googlesource.com/proposal/+/master/design/55022-pgo-implementation.md) in Go; and Generative-AI tools for [fixing concurrency bugs](https://mlforsystems.org/assets/papers/neurips2023/paper10.pdf) and [resource leaks in Java](https://mlforsystems.org/assets/papers/neurips2024/paper14.pdf). We make our tools open source and publish our research as  academic papers at premier conferences and blog posts. We also participate actively in the research community, including attending conferences, organizing workshops, and serving on program committees. To succeed in this position, you will have a solid understanding of innovative program analysis techniques and experience developing static analyses or compiler optimizations. You should also be passionate about writing clean, efficient, and well-tested code. ## **What You'll Do** - Drive exciting, ambitious, previously unsolved projects from end to end - Thrive in ambiguous product requirements - Iterate fast to explore possible solutions - Make data-driven decisions with exceptional execution - Collaborate closely with product managers and data scientists - Be motivated to own projects and push them forward with independence - Most importantly, have a passion for making Uber better for our customers - Publish your work at top computer science conferences **Basic Qualifications** - Ongoing Ph.D. in Computer Science, Computer Engineering, or related field - Candidates must have at least one semester/quarter of their education left following the internship - Prior experience with compiler optimization, static or dynamic analysis, and Generative AI - Solid understanding of modern program analysis techniques - Excellent coding skills and software design skills - Actively submitting papers to top conferences and journals ## **Preferred Qualifications** - Ability to communicate effectively with both technical and business partners - Experience in simplifying/converting business challenges into technical problems - Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation - Experience presenting at industry-recognized academic conferences 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.