Robotics Engineer

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a pioneering technology company specializing in advanced autonomy for squad robotic systems. The company blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. The team is dedicated to pushing the boundaries of robotics and AI, with a strong focus on safety and ethical considerations in autonomous systems.

Based in London and Cambridge, our client is building a diverse team of talented individuals who share the passion for innovation and pushing the boundaries of what’s possible in autonomous systems. The company offers a dynamic and collaborative work environment where creativity and problem-solving are highly valued.

About role:
We are looking for a Robotics Engineer to join the team on a contract basis. The ideal candidate will have expertise in developing autonomous systems for unmanned aerial vehicles (UAVs) and contribute to the cutting-edge drone squad technology.

The company is developing AI capabilities to add autonomy to single UAVs, such as the ability to identify an enemy UAV, track and engage, autonomously. You will have the unique opportunity to shape AI capabilities in one of the most challenging environments: fast changing, resource constrained, secure, and with high generalization capabilities.

Requirements:
– 2+ years experience with autonomous systems, particularly in UAV applications.
– 2+ years experience in designing and implementing autonomous control systems for UAVs using ROS and simulation environments (e.g. Gazebo).
– Hold M.Sc. in automation and control, machine learning, robotics, or related field.
– Design and implement autonomous control systems for UAVs.
– Experience with computer vision frameworks (OpenCV, YOLO, TensorFlow, PyTorch, etc.)
– Have experience integrating a companion computer (e.g. Raspberry Pi 5 + AI or Nvidia Jetson) to a UAV using Pixhawk.
– Integrate sensors and actuators for improved drone perception and navigation.
– Knowledge of control systems, computer vision, and machine learning.
– Conduct testing and validation of robotic systems in various environments.

Nice to have:
– Experience with SLAM, computer vision applied to UAVs.
– Knowledge of AI safety principles and practices.
– Knowledge of control systems, computer vision, and machine learning.
– Familiarity with hardware integration for UAVs.

The client offers:
– Opportunity to work on a cutting-edge localization platform with AI-driven innovation.
– A collaborative, dynamic team environment with a culture of learning and growth.
– Competitive salary and flexible work arrangements.

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