Software Engineer - Wireless Network Infrastructure

Uber Overview

We are seeking a strong engineer to contribute to our wireless network infrastructure team responsible for the wireless network performance of our apps. Given Uber operates across 500+ cities, with different mobile operators/networks, device classes and varying proximity to data centers, optimizing the last mile wireless link is of great importance to Uber, to provide a great experience to our users. .

The legacy protocol stacks (e.g: TCP/TLS/HTTP), buried deep into the device operating system, do not fare well in challenging network conditions (specifically in emerging markets). . This team’s goal is to change this with radically new technology, that can optimize the current network performance, while also unlocking new capabilities like vehicular networks/delay tolerant networking for the future.

WHAT YOU’LL BE DOING:

  • Instrument the Uber apps to understand the network characteristics around the world in all cities Uber operates.
  • Work with network and/or security protocols, innards of mobile operating systems and build a global distributed system around brand new protocols similar to QUIC or QUIC itself!
  • Make Uber network calls from mobile 5X faster!

Requirements

  • Inherently inquisitive and motivated by big engineering problems.
  • An optimistic, team-player mindset.
  • B.S. in Computer Science or related field (or, a proven track record in software development)
  • 3+ experience in working on performance-critical systems
  • A solid understanding of all aspects of the network call anatomy such as DNS lookup, TCP and TLS connection establishment, HTTP/1.1, SPDY, HTTP/2.
  • System level programming in C++ (supported by Java and Go)
  • iOS and Android platform specific work (C++, Java/ObjC)
  • Solid understanding of systems architecture, multi datacenter designs and common performance tradeoffs.
  • Data Engineering and analysis at massive scale for the global mobile network performance metrics, visualization and alerting on detecting trends

Bonus points if you have familiarity in:

  • Experience in developing effective tools to help uncover inefficiencies in mobile app performance due to network communication overhead.
  • Understanding of end to end network flow: Mobile, Radio Access Network, Core Network to POP’s and frontend proxies.
  • Knowledge of QUIC protocol.
  • Mobile development experience in Android or iOS.
  • Experience in organizing meetups and public speaking.
  • Experience improving client performance in production environments across a wide range of disparate devices.

Be sure to check out the Uber Engineering Blog to learn more about the team.


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