CLOUDVICE - Robotics Engineer - ROS/C++

Robotics Engineer

About The Job

Roles & Responsibilities

• Design and develop robust robotic systems tailored to diverse application-specific requirements.
• Program and integrate complex robotics hardware, leveraging platforms such as ROS, C++, Python, and other relevant technologies.
• Seamlessly interface sensors, actuators, and controllers to construct highly responsive and intelligent robotic systems.
• Conduct rigorous simulations and comprehensive prototype testing using industry-standard tools like Gazebo, V-REP, or Webots.
• Collaborate cross-functionally and effectively with software, electrical, mechanical, and AI/ML teams to ensure cohesive development.
• Perform systematic troubleshooting, meticulous debugging, and continuous optimization of robotic systems throughout the entire development lifecycle.
• Maintain comprehensive and meticulous documentation of designs, codebases, test procedures, and performance results.
• Ensure strict compliance with all relevant safety, quality, and industry standards for robotics applications (e.g., ISO 10218).
• Proactively stay current with emerging technologies in automation, artificial intelligence, and robotics, and recommend strategic improvements and innovative 25 years of professional experience in robotics development or automation systems.
• Proven track record of hands-on experience working with various robotic platforms, including robotic arms, autonomous vehicles, drones, or industrial robots (e.g., ABB, FANUC, KUKA, Universal Robots).
• Strong programming proficiency in C++ and Python, with solid familiarity and practical experience with ROS (Robot Operating System).
• Demonstrable experience with embedded systems and microcontrollers (e.g., Arduino, Raspberry Pi, STM32).
• Solid theoretical and practical knowledge of kinematics, dynamics, control systems, and advanced motion planning algorithms.
• Proficiency in CAD software (e.g., SolidWorks, AutoCAD) for mechanical design, rapid prototyping, and component visualization.
• Extensive hands-on experience with simulation environments and real-time system testing for validation and optimization.
• Knowledge of AI/ML concepts, computer vision, or deep learning techniques as applied to robotics is highly desirable.
• Experience with relevant safety and compliance standards for robotics, such as ISO 10218 or similar.
• Familiarity with Agile/Scrum development methodologies and practices.
• Excellent problem-solving and strong analytical skills, with a methodical approach to complex challenges.
• Exceptional communication and collaboration abilities, fostering a productive team environment.
• Highly detail-oriented and capable of working effectively under minimal supervision, demonstrating strong Bachelor's or Master's degree in Computer Science.