*Compensation package will commensurate with experiences.
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.
