Robotic Engineer

Yeti to Work is a recruiting company established in 2017 with the goal to work with businesses to help drive the success of their company by providing them with hardworking candidates who are motivated and driven. Our team provides quality recruiting services along with employee screening to help find the best candidates for the job. Our client is seeking a Robotic Engineer in the Highalnd Park, MI area. This is a 1st shift / day position. Responsibilities Program, troubleshoot, and optimize industrial robots, cobots, and automated tooling. Lead the integration and commissioning of new robotic cells, conveyors, end-of-arm tooling, and vision systems. Troubleshoot automation-related downtime and perform root cause analysis to implement corrective actions. Support continuous improvement initiatives focused on cycle time, quality, throughput, and equipment reliability. Work with PLCs, sensors, controls, and other automation equipment to support integrated manufacturing systems. Partner with Production, Maintenance, Quality, and Engineering teams on automation upgrades and equipment improvements. Develop and maintain schematics, programming standards, preventive maintenance documentation, and other technical documentation. Train production and maintenance personnel on robotic equipment operation, troubleshooting, and safety. Ensure robotic and automation systems meet applicable safety requirements and standards. Qualifications Bachelor’s degree in Robotics, Electrical, Mechanical, Mechatronics Engineering, or a related field. 2+ years of hands-on industrial robotics or automation experience. Experience programming and troubleshooting robotic systems such as FANUC, ABB, KUKA, and/or Universal Robots. Strong understanding of PLCs, sensors, automation controls, and integrated manufacturing equipment. Ability to read mechanical and electrical schematics. Experience with CAD software. Strong troubleshooting and problem-solving skills. Experience with Cognex, Keyence, or similar machine vision systems is preferred. Exposure to Industry 4.0, manufacturing data collection, and smart factory technologies is a plus. #J-18808-Ljbffr