4+ years of experience in software engineering;
Experience of technical leadership within a team;
Experience with embedded development, low level performance optimization, QNX is an advantage;
Excellent analytical, algorithmic and optimization skills;
OOAD, architecture and design patterns;
Expertise in cross-platform C++ (preferably C++11), boost;
Knowledge of discrete mathematics will be a plus;
Excellent English, well-developed communication skills;
Understanding of Agile methodologies and engineering practices;
Willing to regularly travel to Western Europe.
Individual approach to professional and career growth (Personal Development Plan);
Comfortable work conditions (including two monitors on each work place);
Smart environment — interesting projects from renowned clients;
Flexible work schedule;
3 social packages to choose among — medical insurance, sports attendance payment or mix of both;
Annual vitaminization program for employees;
English and German courses;
Competitive salary according to the qualifications;
Guaranteed full workload during the term of the contract;
Corporate leisure activities.
Our customer is one of the key players in the world of maps and navigation platform.
We as a part of customer’s program develop data driven location service at global scale, which operate on billions of transactions, map tiles, search and geocode requests.
The goal of the project is to provide comfortable guidance services for the car driver during the trip. For this purpose software collects and analyzes information from other sub-systems like: Map data, Routing, Traffic load, etc.
Using these data system provides the following major features and services:
Precise matching of the current car position on the road;
Voice guidance and detail dynamic navigation on the route;
Predictive Street Data which aim to predict possible paths the vehicle may travel along.
The project is cross-platform one with car’s head-unit as a target platform.
Various programming languages and technologies, such as C++, Oracle, Java, Python, Hadoop, cloud computing are used.
More information about the project — www.intellias.ua/projects/here