Uber

Compensation

Full Description

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**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 conferencesFor New York, NY-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's mission is to reimagine the way the world moves for the better Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.Uber is proud to be an Equal Opportunity 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.