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2019 PhD Software Engineer Internship - Wireless Infrastructure

Engineering, University in Palo Alto, CA

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 600 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.

About the Role

The Wireless Infrastructure group at Uber is seeking PhD students for a summer internship in 2019, with strong background in QUIC/transport protocols, congestion control and cellular performance.

You will work closely with the team members on characterizing and improving network performance of Uber’s mobile applications by analyzing real-world network data. Interesting results typically lead to conference papers, eng blogs and/or tech talks.

 

What You’ll Do

  • Work with your mentor to define a well-scoped project that tackles key QUIC performance problems
  • Design, implement & test high quality software solutions to the problem
  • Work broadly across various networking teams at Uber, to get the solution deployed & gather findings
  • If appropriate, work towards open source and/or publicizing your work

Sample Projects

  • Understanding LTE packet level behavior when carrying QUIC traffic via cross-layer correlation analysis
  • Evaluate various congestion control algorithms for Uber’s network traffic patterns
  • Using network traces to emulate real world network conditions at global scale
  • Optimize stream multiplexing & prioritization in QUIC to favor real-time traffic

What You’ll Need

  • PhD student (ideally graduating no later than Summer 2020) in mobile networks, transport protocols or network measurement/characterisation
  • Strong software engineering skills to produce efficient, well-tested code
  • Passion for building reliable & performant software libraries & systems
  • Excellent communication skills on expressing ideas, explaining trade-offs & listening to feedback

Bonus Points If

  • You are well versed with the inner workings of the QUIC protocol
  • You are an expert in the various TCP congestion control schemes
  • You have hands-on experience building network profiling/data collection tools
  • You have deep understanding of how cellular networks across the global vary
  • You have deep understanding of how UDP traffic is shaped on the Internet

About the Team

The Wireless Infrastructure team was formed over a year ago, to specifically tackle growing performance demands of Uber’s apps and other connected entities. The group currently develops networking libraries to improve performance, as well as large scale network data collection/analysis/visualization systems to foster networking research. The group members have a healthy mix of software engineering & network researchers backgrounds.


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