Uas (Drone) Swarm Ai & Engineering Lead
2 semanas atrás
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, data and AI technologies.
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 .
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: Bachelors or Masters 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.
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.
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 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/
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