Join the Programming Systems Group at Uber for a 12-week research internship where academic theory meets industrial scale. You will be embedded in a team of specialists to tackle bold, unsolved problems in computer science. As a PhD intern, you will own a research project from ideation to implementation, with the explicit goal of bridging the gap between novel research and production impact. **About the Team** [The Programming Systems Group](https://uber.com/progsys) accelerates performance, reliability, and developer productivity across Uber’s massive tech stack (Go, Java, Swift, Kotlin, TypeScript, and Python). We operate at the intersection of innovation and core infrastructure. Our team actively contributes to the research community by open-sourcing our tools and publishing at premier conferences. **Our recent Work/Publications Includes:** - **GenAI and Program Synthesis:** [Dr.Fix](https://dl.acm.org/doi/pdf/10.1145/3729265), [FixrLeak](https://mlforsystems.org/assets/papers/neurips2024/paper14.pdf), [uReview](https://www.uber.com/blog/ureview/?uclick_id=d2130b98-6942-4f3f-805a-1e88c7bcf3ad), and [FlakyGurard](https://arxiv.org/pdf/2511.14002)(sigsoft distinguished paper) - **Static Analysis:** [NullAway](https://dl.acm.org/doi/10.1145/3338906.3338919), [NilAway](https://www.uber.com/blog/nilaway-practical-nil-panic-detection-for-go/), [Last Diff Analyzer,](https://dl.acm.org/doi/10.1145/3611643.3613870) [Piranha](https://dl.acm.org/doi/pdf/10.1145/3656429) - **Dynamic Analysis:** [CRISP](https://www.usenix.org/conference/atc22/presentation/zhang-zhizhou), [ErrorScope](https://dl.acm.org/doi/pdf/10.1145/3700436), [GOLF](https://cs.au.dk/~amoeller/papers/golf/paper.pdf?uclick_id=c852d841-4fff-4ee1-8815-c085ee926f69) (upstreamed to Go), and [DataraceSpy](https://dl.acm.org/doi/epdf/10.1145/3519939.3523720) - **Optimization and Infrastructure:** [Swift protocol specialization](https://dl.acm.org/doi/10.1145/3360590) (upstreamed to swift), [LeakProf](https://dl.acm.org/doi/10.1109/CGO51591.2021.9370306), [PGO in Go](https://www.uber.com/blog/automating-efficiency-of-go-programs-with-pgo/) (upstreamed to Go), and [CI@Scale](https://arxiv.org/abs/2501.03440?uclick_id=c852d841-4fff-4ee1-8815-c085ee926f69) **What You’ll Do** - Lead Novel Research: Drive an ambitious, end-to-end research project under the supervision of an experienced mentor - Innovate at Scale: Develop static analyses, compiler optimizations, or AI-driven tools that improve reliability, efficiency, and productivity for thousands of developers - Publish & Share: Publish your work at top-tier conferences and contribute to our open-source ecosystem - Collaborate: Work closely with engineers and leaders to validate your research against real-world production data **Basic Qualifications** - Currently enrolled in a Ph.D. program studying Computer Science, Computer Engineering, or a related field - Candidates must have at least one semester/quarter of their education left following the internship **Start date:** 15th June 2026 **End date:** 13th September 2026 **Preferred Qualifications** - Prior experience with compiler optimization, static or dynamic analysis, distributed systems, performance analysis tools, and GenAI - Solid understanding of modern program analysis techniques - Excellent coding skills and software design skills - Actively submitting papers to top conferences and journals - 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 top-tier conferences At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together. 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, colour, 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).