TEKEVER > UAS (Drone) Swarm AI & Engineering Lead

UAS (Drone) Swarm AI & Engineering Lead

UAS (Drone) Swarm AI & Engineering Lead

Sector

Data & AI

Location

Lisbon

Employment Type

Full-time

 

UAS (Drone) Swarm AI & Engineering Lead

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 the Drone Swarm AI Engineering Lead, you will be responsible for leading a team of engineers in designing, developing and deploying AI algorithms that enable coordinated behavior and autonomous decision-making in swarms of drones. You will oversee all aspects of the project lifecycle, from conceptualization to implementation and testing, ensuring the delivery of high-quality, innovative solutions. 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:

  • Leadership: Lead, mentor and develop a team of engineers, fostering a collaborative and innovative work environment. For an overview of what our UAS (Drone) Swarm AI & Engineers do on a day-to-day basis, please refer to <link to UAS (Drone) Swarm AI & Engineer JD>.
  • Project Management: Oversee the end-to-end lifecycle of drone swarm AI projects, ensuring timely delivery and high-quality outcomes.
  • Algorithm Development: Design and develop advanced 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 drive the adoption of new techniques to enhance the capabilities of our drone swarms.
  • Documentation: Ensure comprehensive documentation of algorithms, simulation results and system configurations for future reference and reproducibility.
  • Field Testing: Conduct 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. A PhD is a plus.
  • Experience: 5+ 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.
    • Extensive 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 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.
  • Leadership: Proven track record of leading small engineering teams and successfully delivering complex projects.

 

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, apply now! Send your CV tojobs@tekever.com.

UAS (Drone) Swarm AI & Engineering Lead

Sector

Data & AI

Location

Lisbon

Employment Type

Full-time

 

UAS (Drone) Swarm AI & Engineering Lead

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 the Drone Swarm AI Engineering Lead, you will be responsible for leading a team of engineers in designing, developing and deploying AI algorithms that enable coordinated behavior and autonomous decision-making in swarms of drones. You will oversee all aspects of the project lifecycle, from conceptualization to implementation and testing, ensuring the delivery of high-quality, innovative solutions. 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:

  • Leadership: Lead, mentor and develop a team of engineers, fostering a collaborative and innovative work environment. For an overview of what our UAS (Drone) Swarm AI & Engineers do on a day-to-day basis, please refer to <link to UAS (Drone) Swarm AI & Engineer JD>.
  • Project Management: Oversee the end-to-end lifecycle of drone swarm AI projects, ensuring timely delivery and high-quality outcomes.
  • Algorithm Development: Design and develop advanced 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 drive the adoption of new techniques to enhance the capabilities of our drone swarms.
  • Documentation: Ensure comprehensive documentation of algorithms, simulation results and system configurations for future reference and reproducibility.
  • Field Testing: Conduct 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. A PhD is a plus.
  • Experience: 5+ 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.
    • Extensive 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 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.
  • Leadership: Proven track record of leading small engineering teams and successfully delivering complex projects.

 

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, apply now! Send your CV tojobs@tekever.com.