UAS (Drone) Swarm AI Engineer

Are you ready to revolutionise the world with TEKEVER?

At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.

Digital | Defence | Security | Space

We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space.

We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.

Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

If you're passionate about technology and eager to shape the future — TEKEVER is the place for you.

Job Overview

As a Drone Swarm AI Engineer, you will be at the forefront of developing and implementing AI algorithms that enable coordinated behaviour 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 behaviours, 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.
• Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
• 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.
  
  

Do you want to know more about us ?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/