We are seeking a highly skilled UAS (drone) Swarm AI Engineer to join our team and develop sophisticated drone swarm systems.

Job Overview

As a Drone Swarm AI Engineer, you will be at the forefront of developing and implementing AI algorithms that enable coordinated behavior and autonomous decision-making in swarms of drones. You will work on cutting-edge projects that require innovative thinking and a deep understanding of AI, robotics and drone technologies.

Responsibilities

• Design and develop AI algorithms for swarm intelligence;

• Create and utilize simulation environments to test and validate swarm behaviors;

• Implement real-time data processing and decision-making algorithms;

• Integrate AI algorithms with drone hardware and software systems;

• Optimize swarm algorithms for performance, scalability and energy efficiency;

• Work closely with cross-functional teams, including hardware engineers, software developers and field operators, to define requirements and deliver solutions that meet project goals;

• Maintain comprehensive documentation of algorithms, simulation results and system configurations;

• Conduct, together with our Ops teams, field tests and demonstrations to evaluate the performance of drone swarms in real-world conditions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.

• 3+ years of experience in AI, machine learning, robotics, or a related field, with specific experience in swarm intelligence or multi-agent systems.

Technical Skills

• Proficiency in programming languages such as Python, as well as C++;

• Experience with machine learning frameworks and libraries such as TensorFlow, TensorFlow Lite, TensorRT, PyTorch, PyTorch Mobile, or scikit-learn;

• Strong knowledge of swarm intelligence algorithms and multi-agent systems;

• Familiarity with robotics software frameworks such as ROS (Robot Operating System);

• Understanding of real-time operating systems (RTOS) and embedded systems;

• Experience with simulation tools like Gazebo, Webots, or custom simulation environments;

• Understanding of communication protocols and networking for drone-to-drone and drone-to-ground communication;

• Experience in deploying and optimizing models for edge computing environments.

Benefits and Career Opportunities

• Health insurance;

• Meals allowance;

• Annual bonus;

• Be part of a motivated multidisciplinary and innovative team;

• Stable contractual relationship;

• Salary according to demonstrated experience;

• Opportunities for professional development and growth in a learning-driven environment.

We value diversity

We promote equal opportunities and diversity and encourage all qualified individuals to apply.