Vision & Automation Specialist for Smart Manufacturing

Kubota Manufacturing of America Corp

Gainesville (GA)

Presencial

USD 90.000 - 130.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

401(k) plan with company match
Comprehensive medical, dental, and vis
Earned paid time off (ETO)
10 paid company holidays annually
Performance-based merit increases
Annual bonus opportunity

Descripción de la vacante

Kubota Manufacturing of America Corp in Georgia seeks a Computer Vision and Automation Specialist to design, develop, and deploy vision-driven automation for manufacturing. You will lead end-to-end CV pipelines, integrate with PLCs, and enhance product quality and efficiency.

The role emphasizes hands-on development, cross-functional collaboration, and continuous improvement in a fast-paced plant environment.

Formación

  • Strong technical problem-solving and analytical skills.
  • Proficiency in Python programming.
  • Experience developing software, automation, computer vision, robotics, ML solutions.
  • Knowledge of computer vision and image processing concepts.
  • Strong communication, collaboration, and project execution skills.
  • Demonstrated ability to troubleshoot and solve complex technical problems.
  • Experience in manufacturing automation environments is preferred.
  • Experience with CV/AI vision and image processing applications.
  • Python programming for automation, data analysis, and DX projects.
  • Knowledge of PLC controls and industrial connectivity like Kepware.

Responsabilidades

  • Lead the development and deployment of computer vision inspection systems for manufacturing and production environments.
  • Design, build, and maintain end-to-end machine vision pipelines using Python and ML/CV frameworks (YOLO, Florence-2, SAM, OpenCV, PyTorch).
  • Own the full model lifecycle: data collection, dataset creation, annotation, training, validation, and optimization.
  • Develop custom OCR and defect-detection solutions performing at production-line speed across multi-camera systems.
  • Integrate vision systems with plant automation infrastructure including PLC communications and control systems.
  • Design and implement poka-yoke solutions to prevent defects and improve quality.
  • Support equipment integration using Allen-Bradley/Rockwell platforms, tag structures, ladder logic.
  • Collaborate with engineering, operations, and production teams to identify inspection opportunities.
  • Deploy and maintain applications in Docker containers; version control with Git.
  • Implement real-time monitoring, alerting, and reporting for inspection reliability and uptime.
  • Troubleshoot and improve system accuracy, speed, robustness, and performance in production.
  • Build and maintain operator dashboards and user interfaces for visibility and decision-making.
  • Use metrics to improve detection accuracy, throughput, and system effectiveness.
  • Establish best practices for CV deployment, data management, and model maintenance in industrial environments.
  • Research emerging AI/vision/robotics/digital transformation technologies for innovation.
  • Serve as a technical resource for vision, OCR, and AI-driven inspection initiatives.
  • Document architecture, methods, results, and performance metrics for scalability.
  • Share expertise and support cross-functional improvement initiatives.
  • Promote safety, quality, and compliance in manufacturing environments.

Conocimientos

Strong technical problem solving
Python programming
Automation software experience
Computer vision concepts
Communication & collaboration
Troubleshooting complex problems

Educación

Bachelor’s degree in Computer Science/Engineering/AI/Data Science/Robotics/Mechatronics/Automation

Herramientas

Kepware
Visual Studio Code
Github Copilot
GitLab

Descripción del empleo

Kubota Manufacturing of America Corp in Georgia seeks a Computer Vision and Automation Specialist to design, develop, and deploy vision-driven automation for manufacturing. You will lead end-to-end CV pipelines, integrate with PLCs, and enhance product quality and efficiency.

The role emphasizes hands-on development, cross-functional collaboration, and continuous improvement in a fast-paced plant environment.

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