Job Details

ID #19900307
State California
City Sunnyvale
Job type Permanent
Salary USD TBD TBD
Source Uber
Showed 2021-09-19
Date 2021-09-10
Deadline 2021-11-08
Category Architect/engineer/CAD
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Sr Software Engineer II - Navigation

California, Sunnyvale, 94086 Sunnyvale USA

Vacancy expired!

About the Role Whether engineering more accurate ETAs or helping drivers navigate to the perfect pick-up spot, our mapping technologies are integral to the magic of the Uber platform. On the Maps Engineering team, we use the latest ML, GPS, and telematics solutions to make transportation on our platform safer and more accessible. You will be part of the Navigation team that builds Uber's navigation experience, which our driver partners use worldwide. As an Sr Backend Engineer II, you will lead the development of clear visual and spoken guidance systems to help drivers move people and goods as efficiently, and as safely, as possible. What You'll Do Substantially evolve key navigation systems used by millions of drivers a day in the core trip flow Work alongside backend and mobile engineers to drive end-to-end experiences that involve visual, text and voice guidance Partner closely with the sister teams in Maps Display, Maps Routing, Driver and Eats Courier to increase consistency and efficiency during the Pickup and Dropoff (PUDO) experience. Deep collaborations with UberAI, basemaps, safety and UXR teams Half a billion minutes on navigation screen time per day Basic Qualifications Strong programming and debugging skills (we mainly use Java) and 7+ years of professional industry experience Microservices & Big Data: Experience working with data at scale, including experience with some or all of the following: Hadoop, Hive, Kafka, Flink, Spark, SQL, document databases, knowledge graphs Architecture chops: you should have opinions on constructing software systems and good knowledge of the principles of fault-tolerance, reliability, testing and durability. You should be able to evaluate solution tradeoffs between correctness, robustness, performance, space, and time Production Systems: Experience designing and deploying high performance production services with robust monitoring and logging practices Processing Pipelines: Ability to build and interact with very large data processing pipelines, distributed data stores, and distributed file systems Preferred Qualifications MS/PhD in Computer Science or a related field Experience with Navigation and Routing systems Experience collaborating in a multi-functional team working closely with Product, Design and Data Science

Vacancy expired!

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