Vision Engineer

Vision Engineer – Remote / Travel DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies". What it's like to work here: Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you! What you will get to do: Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas. Write, implement, and debug PLC software. Provide support to existing vision equipment globally. Follow health, safety, environmental regulations, and safety protocols, (LOTO). Build mutual trust, respect, and cooperation among all team members. Communicate across cross-functional groups. Be responsible for projects from technical specification to startup support. Develop contingency and disaster recovery plans. Create training documentation. What will make you successful: Three years of experience in a controls/vision engineering role. Must be a self-starter, team player, work well with others, and have a positive attitude. Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy. Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio. Knowledgeable of Keyence & Cognex cameras. Must have ability to prioritize, multi-task and meet deadlines. C+ or C++ Programming capabilities. Knowledge on machine learning with AI capabilities. Self-driven and willingness to work long hours during installations, if required. Willingness to travel globally – up to 30-50%.