QUALIFICATIONS
· Bachelor's Degree in Computer Science, Engineering, or a related field,
· Experience in autonomous vehicles (mobile robots, UAV, AGV, UGV, etc.) path planning and SLAM algorithms,
· Having knowledge of obstacle avoidance algorithms,
· 3+ years of software development in C++ and Python,
· Knowing object-oriented programming, basic data structures and algorithms
· Having knowledge of and experience with source control systems (git, svn, etc..),
· Having knowledge of cross-compile techniques,
· Experience in Linux and compiler tools,
· Excellent debugging and optimization skills,
· Good knowledge of linear algebra and vector math,
· Experience with version control systems and CI/CD tools,
· Experience in OpenCV or other computer vision libraries,
· Experience in Robot Operating System (ROS) or ROS2,
· Experience in Boost library,
· Experience in machine learning,
· Excellent verbal and written skills in English,
· Following and adapting the market trends and new technologies,
· Outside the box thinking ability,
· Open to innovation culture,
· Flexible and open to new perspectives,
· A great team player with a self-initiative mindset,
· Knowing what empathy really means,
· Being open to communication is always our priority.

JOB DESCRIPTION
· Research and development of novel autonomous mobile robot’s algorithms
· Implementing autonomous mobile robots path planning, motion planning and localization algorithms,
· Unit testing and developing document code,
· Collaborating closely with testers and field engineers for quality assurance,
· Using libraries such as ROS, OpenCV, Boost,
· Developing maintainable, reliable, efficient, and well-documented code,