We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
As an Android Engineer, you’ll work on the code behind apps used by millions globally every day. In hundreds of cities, people tap their phones to get a ride, get food delivered, or earn extra cash with Uber. We’re looking for talented engineers to make sure every one of those experiences is magical. Join us to work on some of the most exciting challenges in tech, with projects ranging from building a more efficient uberPOOL commuting experience to creating an uberEATS interface that’s perfect for our driver-partners.
Experience with releasing, maintaining mobile code
Strong expertise in Java
Experience analyzing a feature in production using analytics and experiments
Strong focus on high-quality mobile UI experiences
Experience collaborating on projects and working efficiently as part of a team.
Deep understanding of Android SDK
Bonus points if
BS/MS/PhD in Computer Science or a related field
Experience with open source libraries like Retrofit, RxJava, Dagger 2, Lottie
Contribute to the wider Android community via open source
Team-specific focus areas
Additionally, Uber has a variety of roles and teams for you depending on where your interests match best.
High performance systems - Experience with building high performance distributed systems that can scale to 100,000s QPS.
Core Infrastructure - Experience with developing and running large scale distributed storage systems, service oriented architectures, and reliable monitoring and deployment infrastructure.
Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, and Zookeeper
Machine Learning - experience with machine learning, information retrieval, algorithmic complexity, data mining, pricing, optimization.
Geospatial - Familiarity with geospatial datasets and services, such as maps, local search, points of interest and business listings data, mobile device location and GPS traces.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.