100% Remote: This role allows working remotely 100% of the time from anywhere in the US. Workers must be authorized to work in the US (No Non US Applicants Please).
What We Do
The team at MapLarge builds cutting edge products for data analytics and visualization to make us safer, more productive, and more efficient. The Maplarge API provides real time geospatial analytics for over 15 billion location events per day and trillions of historical events. Analysts using our geospatial visualization capability can instantly visualize and publish for data discovery and model testing on any desktop, mobile or tablet device.
Who We Need
Cultural Fit - While we hire all kinds of people and invent roles to fit them, there are three key traits we require of every team member that really define our team.
Skills & Requirements
IoT / Mobile Device Builder with Full Stack Experience - We built our own in-memory database and distributed data analytics pipeline from the ground up with funding from DARPA, and we also build distributed IoT sensors to feed data into our production systems for a wide variety of production applications. We have a team of really talented researchers working on Pattern analysis, Streaming analytics, Spatial queries and Network graph functions that power our visualization and predictive analytics engines and we need additional embedded IoT programmer/hardware designers to complement that team. We are always looking for practical people who love designing highly optimized systems that straddle the line between research and software development. We don't usually publish scientific papers, but we are right out on the edge pulling algorithms out of the latest research papers finding really fast "good enough" approaches that let us build amazing IoT sensors and tease interesting patterns out of data without getting lost in "science experiment land". We need high energy people who enjoy working quickly with a fast paced team to build innovative systems. We release new versions of amazing products at a rapid pace (usually every day) and solve hard problems for the largest enterprises in the world.
Optional / Nice to Have Skills:
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