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Full Stack Engineer

2 months ago


San Francisco, United States Hivemapper Full time

About Hivemapper

Hivemapper is building the world's freshest map using street-level imagery contributed by a community of everyday drivers, large fleets, and everyone in between. We have over 60,000 contributors around the world, and have now mapped over 12.2M unique kilometers, or more than 15% of the world's roads.

Map data customers use Hivemapper’s developer-friendly APIs to access fresher road imagery and map feature datasets than any centralized mapping project can offer. Some examples of map data customers include enterprise technology, mapping, robotaxis, rideshares and real estate

Maps & Navigation

We are looking for a talented fullstack engineer to lead development on our new map data infrastructure and maps navigation applications. We are looking to develop novel experiences that leverage the freshness, quality, and volume of our data to provide new types of mapping experiences to people worldwide.

The role will work closely with our Platform, R&D, Design, and Mobile App teams. The ideal candidate is self-driven, has experience visualizing data, developing high-performance applications, and is motivated by complex algorithmic problems

A Typical Day

Work on building our next generation map data platform Contribute your expertise along the full maps stack from data to rendering Rapidly prototype in-app and in-car experiences Design scalable systems for massive amounts of data to feed user applications Partner with our R&D and embedded teams to develop novel interactive experiences leveraging real time 3D data

Your Expertise

Experience with Maps and Computational Geometry data Strong Data Structures and Algorithms skills that can be applied to novel navigation solutions Proficiency in Typescript/JavaScript in both backend and frontend contexts Demonstrated experience building and shipping map data products to a large audience

Bonus Points

Experience with CarPlay or Android Auto Experience with Swift, Kotlin, Java, or Objective-C Experience with Spark/Hadoop, Python Experience deploying large scale Remote Sensing applications

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