Unmanned Autonomous Systems Engineer

Unmanned Autonomous Systems Engineer

We are Qualco Group, a leading fintech organization with over 25 years of experience delivering innovative technology solutions to banks and financial institutions. Serving clients in over 30 countries, we leverage advanced technologies, such as AI and analytics, to develop proprietary software and platforms that accelerate digital transformation and generate lasting value for businesses, society, and the broader economy.

We are looking for critical thinkers, problem solvers, and motivated engineers with a passion for autonomy and intelligent systems. You will work on the design, development, and deployment of advanced unmanned autonomous systems across various domains. This role requires a strong background in robotics, control theory, real-time systems, and algorithm development. You will employ your engineering, programming, and analytical skills to solve complex challenges involving autonomous navigation, perception, and decision-making in dynamic and uncertain environments.

Your responsibilities will include:

• Design, development, and integration of autonomous systems for unmanned platforms (aerial, surface, or underwater)
• Development and implementation of navigation, guidance, and control algorithms
• Modeling and simulation of robotic systems in physics-based environments (e.g., Gazebo, MATLAB/Simulink)
• Development and testing of perception, localization, and decision-making components
• Sensor fusion and real-time data processing from IMUs, cameras, LiDARs, or other onboard systems
• Implementation of autonomous behaviors using AI/ML techniques where appropriate
• Optimization of system performance under hardware and environmental constraints
• Development of real-time software components within ROS and/or RTOS environments
• Hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing
• Prototyping and field-testing of autonomous systems in collaboration with multidisciplinary teams
• Documentation of system architectures, algorithms, and testing results
• Collaboration with other engineering teams to ensure seamless integration of hardware and software subsystems
• Continuous evaluation of emerging tools, frameworks, and algorithms relevant to autonomous systems