2026 PhD Software Engineer Intern (Programming Systems Group), United States

Uber•New York, NY

About The Position

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 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, FixrLeak, uReview, and FlakyGurard (sigsoft distinguished paper) Static Analysis: NullAway, NilAway, Last Diff Analyzer, Piranha Dynamic Analysis: CRISP, ErrorScope, GOLF (upstreamed to Go), and DataraceSpy Optimization and Infrastructure: Swift protocol specialization (upstreamed to swift), LeakProf, PGO in Go (upstreamed to Go), and CI@Scale

Requirements

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

Nice To Haves

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

Responsibilities

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

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