We are Civil Maps , Civil Maps, provider of 3D mapping technology for fully autonomous vehicles, has raised a $6.6 million seed funding round from Ford Motor Company, Motus Ventures, Wicklow Capital, StartX Stanford and Yahoo cofounder Jerry Yang’s AME Cloud Ventures. Civil Maps’ mission is to make it possible for fully autonomous vehicles (SAE Levels 4-5) to drive anywhere smoothly and safely. Through artificial intelligence and vehicle-based local processing, Civil Maps converts sensor data into meaningful map information built specifically to direct fully autonomous vehicles. The company will use the seed investment to accelerate product development and deployment with a number of leading automotive companies and technology partners. Civil Maps’ artificial intelligence software aggregates raw 3D data from LiDAR (high-resolution laser imaging), camera and other sensors onboard autonomous vehicles and organizes the information into machine-readable maps. The information is vastly more actionable than today's map data and requires only a fraction of the data storage. Thanks to this light data footprint, Civil Maps’ spatial information is far less costly to transmit over cellular networks, enabling the company to easily crowdsource, update and share road data in real time—a major improvement over the lengthy processes that require human annotation in current use. As a result, the company can quickly generate and maintain maps that give fully autonomous vehicles the comprehensive and precise knowledge to autonomous operate safely and smoothly on all roads. We are hiring the professionals for the below skills : Work Location : Hyderabad C++/Networking Engineer : Experience : 4+ years Job Description: Minimum qualifications: Bachelor’s degree in Computer Science, related technical field or equivalent practical experience. Solid Software Engineering experience in C/C++. Unix/Linux experience is mandatory and Shell/Bash scripting experience in Linux is a plus. Knowledge of TCP/IP and network programming. Experience in database design and working with MongoDB and cache systems like Redis. Experience writing production grade docker containers and deployment. Experience working on cloud platforms like AWS and Azure. Python, Javascript programming experience is a plus. Solid foundation in data structures, algorithms and software design with strong analytical and debugging skills. Familiarity with version control like GitHub Working proficiency and communication skills in verbal and written English. Self-motivated and directed, with a keen interest in current and emerging technologies Preferred qualifications: Prior experience developing applications or backend experience in gaming industry or 3D simulator experience is a plus. Familiarity with continuous integration and automated deployment systems like TravisCI. Hadoop, MapReduce, and Parallel computing experience. Solid experience with Linux OS internals and Docker containers Experience deploying containerized applications to bare metal servers. Large systems software design and development experience, distributed systems and techniques on accessing/indexing a massive data store. Good understanding of private and public cloud design and architecture. The ability to pick things up quickly with minimal supervision, and be flexibility during product release.

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About Civil Maps

Founded :

2014

Type :

Product

Size :

20-100

Stage :

Profitable

About

At Civil Maps, we believe that efficient, safe mobility can revolutionize the way we live and interact with the world around us. To reach this future, we provide autonomous vehicles with cognition, enabling them to crowdsource 3D maps and make better decisions for safe driving. Our first milestones include providing real-time, localization in six dimensions and producing augmented reality maps, to be used by AVs and humans. Our process of questioning established methods and our artificial intelligence expertise allow us to define the mobility solutions of the future.

Civil Maps' resources are augmented through its partnerships with the leading geospatial, governmental and academic institutions including U.S. Department of Energy, National Energy Research Scientific Computing Center, Verizon Innovation Program, University of California Berkeley and Stanford University.

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