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Machine/ Computer Vision Engineer

$150-170k
Full-time
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Machine / Computer Vision Engineer
We are hiring a Machine Vision Engineer in our Charlotte NC metro office in beautiful Lake Norman area. . This resource will be responsible for design and defining standards for vision technology used for plant automation. If you or someone you know have deep knowledge and experience in one or more fields of automation including material handling, tracking, and movement (vision guided vehicles, autonomous mobile robots, RFIDs), controls engineering (high and low voltage control, PLC/HMI hardware and software, production monitoring and control, electrical CAD), robotics and collaborative robotics, automation safety and safety standards, machine vision, industrial networks, software programming, data architecture, analytics, and visualization, and manufacturing operation management (MOM), please connect with us to learn more about these exciting opportunities with our client.
We highly prefer candidates with commercial HVAC or automobile manufacturing experience. The ideal candidate has experience on a national or global level and applying their skills to multiple facilities. What is a Computer / Machine Vision Engineer? Machine vision engineers apply computer vision and machine learning research to solve real-world problems . Their work uses large sums of data and statistics in order to complete complex tasks and apply supervised or unsupervised learning as part of computer vision tasks. Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos . Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities

This is a full time role that is primarily onsite in our Charlotte NC metro headquarters- the Full time salary is $150,000 - $170,000 plus benefits/bonus and full relocation available -

Required Skills:
  • Minimum work experience: eight years in Manufacturing Engineering and five years in factory automation
  • Deep knowledge of automation applications with successful development and deployment experience
  • Deep knowledge of Digital connectivity / IoT and sensor technology
  • Collaborate with others to foster effective teamwork by linking own responsibilities to the team's goals and needs - zeal for new information, knowledge, and experiences
  • Manage time and resources to ensure that work is completed efficiently
  • Ensure effective and efficient completion of projects by planning and implementing courses of action with other functions and key stakeholders
  • University degree in Electrical Engineering, Mechanical Engineering, System Engineering, or Computer Science
  • Willing to be mobile and travel domestically and globally
  • U.S. citizen or have the legal right to work in the U.S. without requiring sponsorship now or in the future
  • Lead the selection, configuring and programming of Vision systems to improve quality of Assembly process at our manufacturing plants across SBU's.
  • The person must be from Electrical & Electronics or Control systems background and should have minimum 8-10 years of experience.
  • Experience in application like part presence, vision gauging, crack detection, parts and color identification, object orientation, character recognition, items sorting etc.,
  • Experience in integrating Vision system with Robots and Cobots to guide Robotic Alignments
  • Experience in using vision system makes like Cognex, Omron, Keyence etc.,
  • Hands on Experience in 2D and 3D vision system, Vision Programming and Deep Learning software.
  • Hands on experience in interfacing with PLC, HMI & SCADA
  • Experience in industrial protocols like Ethernet IP, Profinet, Modbus, FTP and MQTT.
  • Knowledge on Database like Oracle, SQL and their integration with Vision Systems.
  • Troubleshoot and update Vision software programs based on change in manufacturing and quality needs


Key Words
Robotics
2D
3D
MOM

IoT
COBOTS
CAD
Machine Engineer


Bachelor's Degree Requirement: Yes

Last updated on Oct 16, 2023

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