Summary of the job:
As a Python Robotics software engineer, you will be effective in developing the latest programs for independent drone systems, focusing on Quadcopters FPV and AAVS fixed wings designed to work in GNSS. It will integrate ML algorithms with ardupilot, Python and other technologies to push the uninhabited air systems.

About the project:
Our company is at the forefront of strengthening sensing and monitoring of defense, security and critical infrastructure. We develop independent navigation systems for drones that can lead in environments where GPS signals and radio signals are not available. Our technology combines the advanced ML, CV and Sensor Fusion to enable identification of organisms in actual time and control drones.

Basics:
At least 3 years of experience in developing software.
Strong efficiency in Bethon and the skills of designing strong solutions.
Excellent work ethics.
– The basic knowledge of ml and algorithms.
– Excellent communication skills and the ability to cooperate effectively in an unlimited team environment.
Prepare to learn new things and grow.

Responsibilities:
– Design and implementation of advanced aviation control systems using Ardupilot, Python and ML integration, and improving them for edge computing.
Developing robots and ensuring their stability and quality.
Merge ML models that enable independent mobility, identify the object in the actual time, and precisely control the drone.
– Applying mathematical concepts and algorithms to solve complex problems related to the dynamics of drones and mobility.
Explore and repair errors and solve devices and programs to ensure reliable and effective drone operations.
– Cooperation with a team of engineers to innovate and pay the uninhabited air systems.
-Participate in code and provide constructive reactions to maintain high -quality code standards.
– Stay aware of the latest developments in drone technology, ML and AI, and apply this knowledge to enhance our systems.

Cute to nonsense:
– C ++ experience.
Experience with drone technology, independent systems, or robots.
Experience with ardupilot, ML Integration, and the development of algorithm.
The basics of strong mathematics.
Experience with reinforcement learning, slam, and Lidar integration for careful movement.
– Master’s degree or doctorate in computer science, engineering, mathematics, or a relevant field.
-The familiarity with algorithms to recognize objects in actual time, CNNS, and modern communication protocols used in drone systems.
Understanding drone, aviation dynamics, and aviation control systems, including pid seizure.
– Experience with ROS.

Join us to innovate in the world of uninhabited air systems and contribute to solutions to modern defense.