Responsibilities:

• Design and implement software for robot control, including real-time motion control and sensor data processing.
• Develop algorithms for path planning and trajectory generation.
• Create software for integrating various sensor to enable perception and navigation capabilities for robots.
• Implement computer vision and machine learning algorithms for object recognition and localization.
• Develop algorithms for autonomous navigation and obstacle avoidance.
• Ensure robots can safely and efficiently navigate in complex environments.
• Work with robotics middleware frameworks, such as ROS (Robot Operating System), to develop software components.
• Integrate sensors, actuators, and other hardware with the middleware.
• Utilize simulation tools to test and validate the software in a virtual environment.
• Conduct real-world testing and debugging of robotic software.
• Collaborate with hardware engineers and robotics experts to ensure seamless integration of software and hardware components.
• Develop interfaces and APIs for intercommunication between different parts of the system.
• Maintain and update the software as needed, addressing bugs and adding new features.
• Document software design, architecture, and usage guidelines.
• Optimize software for resource-constrained robotic platforms, such as embedded systems and mobile robots.

Requirements:

• Minimum Degree in Computer Science, AI, Robotics, Electrical Engineering, or a related field.
• Excellent communication and documentation skills.
• Proficiency in programming languages commonly used in robotics, such as C/C++, Python, and ROS or ROS2 experience..
• Basic theoretical knowledge on control theory and path planning algorithms.
• Practical hands-on experience with Motion control and path planning for mobile robots.
• Strong understanding of software development principles, including object-oriented design and software architecture.
• Knowledge of real-time and embedded systems programming.
• Experience with version control systems (e.g., Git) and collaborative development.
• Familiarity with sensor integration, computer vision, and machine learning.