Job Description
Uber Engineering is expanding rapidly as we tackle exciting challenges at scale globally. As our team and codebase grow, there is an increasing need for automatic analysis tools to maintain high code quality and performance while allowing our engineers to adapt quickly. To support this need, the Programming Systems Group is seeking talented engineers to develop new static and dynamic analysis tools, programming models, and apply them to Uber's codebase.
Responsibilities
- Drive exciting, ambitious, previously unsolved projects from end to end.
- Collaborate closely with product managers and data scientists.
- Make data-driven decisions with exceptional execution.
- Be motivated to own projects and push them forward independently.
- Have a passion for improving Uber for our customers.
Qualifications
- MS or PhD degree in Computer Science, Computer Engineering, or related field.
- Prior experience with static analysis, dynamic analysis, or machine learning applied to program analysis.
- Solid understanding of modern program analysis and machine learning techniques.
- Excellent coding and software design skills.
- Ability to communicate effectively with both technical and business partners.
- Experience in simplifying/converting business problems into technical problems.
- Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation.
Preferred Skills
- Deep understanding of innovative program analysis techniques.
- Experience in developing static analyses.
- Understanding of machine learning concepts and their application to program analysis problems.
- Passion for writing clean, efficient, and well-tested code.
About the Team
The team is focused on building tools to improve performance and reliability across various languages, including Java (mobile and backend), Swift, Go, Kotlin, and TypeScript. The work involves building or extending core infrastructure and developing new optimizations/analyses targeted at key issues. Recent projects include Piranha & NullAway static analysis tools. We aim to make our tools open source and share our work through blog posts or academic papers. We actively participate in the research community, attending conferences, organizing workshops, and serving on program committees.
Join us in our mission to enhance Uber's codebase and contribute to the broader engineering community.
Benefits Extracted with AI
- Flexible work environment
- Opportunities for professional growth
- Participation in research community
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