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Junior Vision Automation Engineer

Job in Lansing, Ingham County, Michigan, 48900, USA
Listing for: Control System Integrators
Full Time position
Listed on 2026-10-30
Job specializations:
  • Engineering
    Automation & Mechatronics Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 52000 - 76000 USD Yearly USD 52000.00 76000.00 YEAR
Job Description & How to Apply Below

“We are a growing automation team with a diversified client base!”

At CSI, our mission is to be "solutions first". We are always looking for people who want to join us in our pursuit and be part of a team that delivers on that promise.

We are going beyond traditional lines to integrate automation, controls, industrial IT and vision. So, we need different kinds of people, and all with special talents. We are constantly looking for more of them.

CSI is an automation solutions provider with global reach through partnerships and connections. At our heart, we have the spirit and size of a small company balanced with the breadth of a national firm.

Entry Level Vision Automation Engineer

CSI is seeking entry level vision automation engineers to join our growing team in Lansing, MI. Looking for individuals with a willingness to learn, a passion for vision automation, a positive attitude and strong work ethic.

RESPONSIBILITIES
  • ?????? Assist with the design, development, testing, integration, and commissioning of industrial machine-vision applications.
  • Configure industrial cameras, lenses, lighting, sensors, and related vision hardware.
  • Develop and modify 2D and 3D machine-vision inspections using commercial vision platforms and/or image-processing libraries.
  • Perform image acquisition, preprocessing, feature extraction, measurement, pattern matching, segmentation, and defect-detection tasks.
  • Assist with laboratory feasibility testing and collect representative sample images and measurement data.
  • Document test results and communicate observed limitations or inconsistencies to senior engineers.
  • Assist in the integration of vision applications with PLCs, robots, HMIs, and other automation systems.
  • Test inspection performance using representative production samples.
  • Support machine debugging, runoff, installation, and production launch activities.
  • Travel to customer manufacturing facilities as required for installation, testing, and commissioning.
  • Participate in customer and internal technical discussions, clearly communicate project status and observed technical issues, and elevate feasibility concerns or application risks as appropriate.
QUALIFICATIONS
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or a related technical discipline; or a High School Diploma/GED with relevant hands‑on experience in industrial automation, machine vision, controls, robotics, or a related field.
  • Basic understanding of digital imaging and machine-vision concepts, including resolution, exposure, focus, field of view, contrast, and image formation.
  • Programming experience through professional work, internships, university projects, or personal projects using a language such as Python, C#, C++, MATLAB, or similar
    .
  • Familiarity with basic image-processing concepts such as thresholding, filtering, edge detection, feature extraction, segmentation, and coordinate systems.
  • Strong analytical and hands‑on troubleshooting ability.
  • Ability to read technical documentation and learn unfamiliar hardware and software independently.
  • Strong written and verbal communication skills.
  • Willingness to travel to customer manufacturing facilities and participate in equipment installation, testing, runoff, and commissioning.
  • Preferred
  • Internship, coursework, research, or project experience involving machine vision, computer vision, robotics, automation, or imaging.
  • Familiarity with OpenCV, Zebra Aurora Vision Studio, Cognex, Keyence, HALCON, or another vision platform
    .
  • Exposure to industrial cameras and machine-vision related hardware.
  • Familiarity with PLCs, industrial robots, or industrial automation.
  • Exposure to 3D imaging or laser profilometry.
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