UAS (Drone) Swarm AI Engineer

About TEKEVER:

At TEKEVER, we are at the forefront of leveraging cutting-edge data and AI technologies to drive innovation and deliver exceptional value to our clients. Our team is passionate about creating intelligent solutions that transform countries, governments, businesses and improve lives.

TEKEVERs mission is to provide our customers with actionable intelligence to make the best decisions faster - both in real-time and non-real-time - in the most challenging environments across the globe. We design and build state-of-the-art autonomous Unmanned Aerial Systems (UAS), both in terms of hardware and software platforms and are growing fast in multiple areas, within both Defense and Civil domains. Typical Use Cases that our portfolio of drones and AI platforms focus on are, amongst others, military surveillance & intelligence gathering, oil pipeline inspections, maritime surveillance, wildfire monitoring, crowd control, change detection, automated area search, sense & avoid, precision landing, swarming - and many more.

As such, we are significantly expanding our Data & AI function and 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. The ideal candidate will have a strong background in AI, machine learning and robotics, with specific experience in swarm intelligence and multi-agent systems.

What will be your responsibilities:

• Algorithm Development: Design and develop AI algorithms for swarm intelligence, enabling drones to communicate, collaborate and perform tasks autonomously in a coordinated manner.

• Simulation and Testing: Create and utilize simulation environments to test and validate swarm behaviors, ensuring robustness and efficiency before deployment in real-world scenarios.

• Real-Time Processing: Implement real-time data processing and decision-making algorithms to facilitate dynamic adaptation of the swarm to changing environments and mission requirements.

• System Integration: Integrate AI algorithms with drone hardware and software systems, ensuring seamless operation and communication within the swarm.

• Optimization: Optimize swarm algorithms for performance, scalability and energy efficiency, considering the constraints of onboard processing power and battery life.

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

• Research and Innovation: Stay current with the latest advancements in AI, swarm robotics and multi-agent systems and apply new techniques to enhance the capabilities of our drone swarms.

• Documentation: Maintain comprehensive documentation of algorithms, simulation results and system configurations for future reference and reproducibility.

• Field Testing: Conduct, together with our Ops teams, field tests and demonstrations to evaluate the performance of drone swarms in real-world conditions, making adjustments as necessary to improve functionality.

Profile and requirements:

• Education: Bachelors or Masters degree in Computer Science, Robotics, Electrical Engineering, or a related field.

• Experience: 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++, Java or Rust.

  • 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.

  • Familiarity with edge computing platforms and hardware accelerators (e.g., NVIDIA Jetson, Google Coral, ARM Cortex), with focus on NVIDIA Jetson Orin.

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

• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.

• Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical (software, AI, embedded systems, hardware) and non-technical stakeholders.

• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.

• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.

What we have to offer you:

• An excellent work environment and an opportunity to create a real impact in the world;

• A truly high-tech, state-of-the-art engineering company with flat structure and no politics;

• Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems;

• Flexible work arrangements;

• Professional development opportunities;

• Collaborative and inclusive work environment;

• Salary compatible with the level of proven experience.

TEKEVER is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

If the above excites you, apply now! Send your CV to jobs@tekever.com.