
UAS (Drone) Swarm AI Engineer
2 weeks ago
Direct message the job poster from ZZ Technologies Islamabad
Human Resource | Talent Acquisition | Technical Recruitment | Performance Management | CommunicationsWe are looking for a UAS (Drone) Swarm AI Engineer to perform the following tasks:
- 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.
- 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 onboard processing power and battery life constraints.
- Research and Innovation: Stay current with advancements in AI, swarm robotics, and multi-agent systems; apply new techniques to enhance drone swarm capabilities.
- Field Testing: Conduct field tests and demonstrations with our Ops teams to evaluate drone swarm performance in real-world conditions, making necessary adjustments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related fields
- 2+ years of experience in AI, machine learning, robotics, or related areas, with specific expertise in swarm intelligence or multi-agent systems
- Experience with machine learning frameworks such as TensorFlow, TensorRT, PyTorch, PyTorch Mobile, or scikit-learn
- Strong knowledge of swarm intelligence algorithms and multi-agent systems
- Familiarity with robotics software frameworks like ROS (Robot Operating System)
- Experience with simulation tools like Gazebo, Webots, or custom 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), focusing on NVIDIA Jetson Orin
- Entry level
- Full-time
- Engineering and Information Technology
- Software Development
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