Robotics Engineer

Key Responsibilities:

• Design and Development: Create and prototype robotic systems, including hardware and software components, ensuring alignment with project requirements and technical specifications.
• Programming and Control Systems: Develop and integrate control algorithms to enable robotic functions, such as navigation, manipulation, perception, and interaction with the environment.
• Testing and Troubleshooting: Conduct tests on robotic systems, identify issues, and implement solutions to optimize performance, safety, and functionality.
• Hardware Integration: Integrate sensors, actuators, controllers, and other hardware components with robotic systems to achieve desired functionalities.
• Collaboration: Work with multidisciplinary teams, including electrical engineers, software developers, and mechanical designers, to deliver complex robotic solutions.
• Documentation and Compliance: Maintain detailed documentation of design, testing, and deployment processes, ensuring compliance with industry standards and regulations.
• Continuous Improvement: Stay updated on advancements in robotics technology and integrate best practices to enhance product design and capabilities.

Qualifications:

• Education: Bachelor’s degree in Robotics Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. A Master’s degree or relevant certifications are a plus.
• Experience: 2-5 years of experience in robotics development or related fields.
• Technical Skills:
• Programming Languages: Proficiency in Python, C++, and ROS (Robot Operating System).
• Hardware Knowledge: Experience with sensors, actuators, microcontrollers, and embedded systems.
• Control Systems: Knowledge of kinematics, dynamics, and control theory for robotic applications.
• Simulation Tools: Familiarity with simulation software such as Gazebo, MATLAB/Simulink, or other physics-based simulators.
• CAD Software: Experience in using CAD tools (SolidWorks, AutoCAD) for designing robotic components.
• Soft Skills: Strong analytical, problem-solving, and communication skills.

Nice-to-Have:

• Experience with AI/ML techniques for robotics applications, including computer vision, machine learning, and path planning.
• Knowledge of industrial robots, autonomous vehicles, or robotic arms.
• Exposure to agile development processes and version control systems (Git).