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3M Machine Vision/Robotics Engineer United States, Nebraska 268387278
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Job Description:
Machine Vision/Robotics Engineer
96,000 other curious,
The Impact You’ll Make in this Role
As a Machine Vision/Robotics Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Valley has 120+ robots and 145+ vision systems, as well as more being installed. Here, you will make an impact by:
As a Machine Vision/Robotics Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
Leading in employing emerging technologies including deep learning to enhance the performance and capability of machine vision systems and advance manufacturing profitability
Consulting with internal business partners and assessing potential applications to identify high-value opportunities for machine vision technology integration
Providing effective robotic system solutions to a variety of new and existing automated process equipment
Selecting hardware and providing software to run new process equipment
Providing support for machine installation and commissioning
Your Skills and Expertise:
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Bachelor’s degree or higher in engineering (completed and verified prior to start) from an accredited institution
Two (2) years of experience in one or more of the following areas: machine/computer vision, automated inspection, industrial automation, manufacturing technology, robotics, and/or controls systems in a private, public, government or military environment
Additional qualifications that could help you succeed even further in this role include:
Possess a Bachelor’s degree or higher (completed and verified prior to start) in Electrical Engineering, Computer Engineering or similar major from an accredited institution
Experience with Fanuc or Keyence or Cognex machine vision platforms
Experience with automation and/or robotics
Knowledge in machine learning and data analytics
Experience withRockwell/Allen-Bradleysystems and hardware
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.
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