Vacancy caducado!
About the Role Uber Engineering is growing quickly as we look to tackle some exciting opportunities at scale and around the world. As we grow our team and code base, there is a growing need for automatic analysis tools to keep our code quality and performance high while ensuring our engineers can continue to move fast. To support this need, the Programming Systems Group is looking for talented engineers to develop new optimizations, static and dynamic analysis tools, and programming models, and apply them to Uber's code base. The team is aiming to build tools to improve performance and reliability across a variety of languages, including Java (mobile and backend), Swift, and Go. The work includes a mix of both building or extending core infrastructure and developing new optimizations / analyses targeted at key issues. Recent work by the team includes [Piranha](https://github.com/uber/piranha/) & [NullAway](https://github.com/uber/NullAway) static analysis tools. The team has upstreamed changes to the Swift compiler to improve specialization of protocol-based code including contributions to LLVM. In general, we like to make our tools open source and write about our work in blog posts and academic papers. 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 state-of-the-art program analysis techniques and experience in developing static analyses or compiler optimizations. You should also be passionate about writing clean, efficient, and well-tested code.
Vacancy caducado!