Job Description
We are seeking a highly skilled and motivated Machine Vision Engineer with a minimum of 4 years of experience to join our dynamic team in Columbus, Ohio. The ideal candidate will have a strong background in machine vision systems, particularly within packaging line environments, and a proven track record of successful installations, configurations, troubleshooting, and optimization.
Key Responsibilities
System Installation and Configuration: Lead and execute the installation and configuration of Machine Vision Systems, specifically within a Cognex environment, ensuring seamless integration with existing processes and equipment
Troubleshooting and Optimization: Diagnose and resolve issues related to Machine Vision Systems, working efficiently to minimize downtime and enhance system performance. Optimize systems to meet production requirements and improve overall efficiency
Sensor Integration: Integrate various sensors with Machine Vision Systems to enhance system capabilities and ensure accurate data collection and analysis
Collaboration and Communication: Work closely with cross-functional teams, including engineers, technicians, and production staff, to understand project requirements and deliver effective solutions. Provide technical support and training as needed
Documentation and Reporting: Maintain comprehensive documentation of system configurations, troubleshooting procedures, and optimization efforts. Prepare and present detailed reports on system performance and improvements
Qualifications
Experience: Minimum of 4 years of hands-on experience with Machine Vision Systems in a packaging line environment. Proficiency in Cognex vision systems is highly desirable
Technical Skills: In-depth knowledge of machine vision technologies, including installation, configuration, and troubleshooting. Experience with sensor integration and system optimization
Problem-Solving Abilities: Strong analytical and problem-solving skills with the ability to diagnose and address complex technical issues
Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders
Education: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field is preferred
Bachelor's degree