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
- 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
-
-
- service solution that delivers
- 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
- driven team that is transforming maritime surveillance and redefining global safety standards.
At TEKEVER, our mission is to provide limitless support through
- oriented
- changers, delivering the right information at the right time to empower critical
- 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
- making in swarms of drones. You will work on
- 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
- 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
- world scenarios. - Real-Time Processing: Implement
- time data processing and
- 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
- 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
- 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
- world conditions, making adjustments as necessary to improve functionality.
- 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
- 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 Tensor
Flow, Tensor
Flow Lite, Tensor
RT, Py
Torch, Py
Torch Mobile, or
- learn. - Strong knowledge of swarm intelligence algorithms and
- agent systems. - Familiarity with robotics software frameworks such as ROS (Robot Operating System).
- Understanding of
- 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 and
-
- 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
- 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
- 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
- paced, dynamic environment and manage multiple projects simultaneously.
- An excellent work environment and an opportunity to create a real impact in the world;
- A truly
- tech,
-
-
- 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
- board systems; - Flexible work arrangements;
- Professional development opportunities;
- Collaborative and inclusive work environment;
- Salary compatible with the level of proven experience.
Visit our Linked
In page at https://www.linkedin.com/company/tekever/
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- Informações detalhadas sobre a oferta de emprego
Empresa: Phiture Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 18. 6. 2025
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