Backend Developer
at Civil Maps
7 - 12 yrs
₹25L - ₹30L / yr
Hyderabad
Skills
Javascript
PythonLinux/Unix
NodeJS (Node.js)NOSQL Databases
RESTful APIs
MEAN stack
MongoDBWe 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 information than today’s mapping systems and requires a fraction of the data storage and transmission for existing technologies. Thanks to this light data footprint, Civil Maps’ spatial information is far less costly to transmit over cellular networks, enabling the company to more 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.
About the Opportunity
This is an opportunity to work on some of the most exciting problems in the autonomous vehicle industry. Civil Maps is looking for a developer to grow its backend infrastructure. You will be interacting with a completely custom-made distributed computing framework, handling terabytes and petabytes of machine vision data, and millions of requests from robotic platforms.
In our interdisciplinary teams, you will get acquainted with the many facets of 3D map creation: data collection, geospatial registration, feature extraction, auditing.
Come work on novel challenges, learn and grow while helping Civil Maps achieve on-demand perception of the world around us.
Qualifications
6+ years of software development experience in the below technologies.
Solid understanding of JavaScript prototypes, callbacks, promises, performance issues.
Experience designing and using REST services which can scale horizontally.
Experience with Node.js and Express.
Experience with unit testing, automation and validation frameworks.
Experience with NoSQL databases (data model design), MongoDB or similar.
Experience with Identity Management and Security (SSL protocols, data encryption, user authentication, authorization services).
Experience with OAuth.
Experience with messaging and caching frameworks.
Experience with Linux based operating systems.
Experience building applications in a cloud environment (ideally AWS).
Experience with C++, Python is a plus
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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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