UAS (Drone) Swarm AI Engineer
Data & AI
Location
Europe - Remote
Employment Type
Full-time
UAS (Drone) Swarm AI Engineer
Are you ready to revolutionise the world with TEKEVER? 🚀
Join us, the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. We offer a unique surveillance-as-a-service solution that provides real-time intelligence, enhancing maritime safety and saving lives. TEKEVER is setting new standards in intelligence services.
Become part of a dynamic team transforming maritime surveillance and making a significant impact on global safety. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to facilitate critical decisions.
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 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: Bachelor’s or Master’s 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 make a difference;
- 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/
If the above excites you, send us your application to jobs@tekever.com! 🚀👩💻