Our client is a cutting-edge warehouse robotics company revolutionizing the logistics industry through intelligent robotic solutions. Their mission is to enhance operational efficiency and streamline supply chain processes with advanced robotic systems.

We are seeking a Robotics Systems Engineer to lead the deployment, integration, and optimization of robotic automation systems in warehouse environments. This role involves working at customer sites to ensure seamless installation, troubleshooting, and performance enhancement of autonomous robotic systems. The ideal candidate has strong expertise in robotics, automation, and system integration, with hands-on experience in real-world field deployments.

Key Responsibilities:

Lead field deployments and integration of robotic automation solutions for warehouse logistics and material handling.

Troubleshoot, diagnose, and resolve system-level issues involving sensors, actuators, controllers, and software.

Optimize robotic system performance by analyzing real-world deployment data and implementing improvements.

Work closely with software and hardware teams to refine system architectures and enhance reliability.

Develop and implement control algorithms for robotic navigation, manipulation, and perception in warehouse settings.

Provide on-site support, training, and documentation to customers and internal teams.

Conduct system-level analysis, performance evaluations, and troubleshooting.

Ensure compliance with industry standards and safety regulations in field operations.

Travel frequently to customer sites for system deployment, testing, and support.

Qualifications & Skills:

Bachelor's or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.

3+ years of experience in robotics systems engineering, automation, or a related technical role.

Strong hands-on experience with robotic hardware, including sensors, actuators, and control systems.

Experience with ROS (Robot Operating System), Python, or C++ for robotic applications.

Familiarity with perception technologies, including LiDAR, computer vision, and sensor fusion.

Experience with motion planning, SLAM, or real-time control systems is a plus.

Strong problem-solving skills and ability to work in fast-paced environments.

Excellent communication and teamwork skills to collaborate across disciplines.

Willingness to travel frequently for system deployment and support.