Computer Vision and Automation Specialist

Kubota Corporation•Gainesville, GA

2d•Onsite

About The Position

We are seeking a driven and innovative Computer Vision & Automation Specialist to join our team in a fast-paced manufacturing environment. This role is ideal for a technology-focused professional who enjoys using automation, computer vision, and data-driven solutions to solve real-world manufacturing challenges and improve safety, quality, and operational efficiency. As a key partner to Engineering and Production teams, you will design, develop, and continuously improve automated manufacturing processes with a strong focus on Computer Vision applications, Python-based solutions, and Manufacturing Digital Transformation (DX) initiatives. You will also apply foundational knowledge of PLC controls to support the effective integration of computer vision and automation technologies with manufacturing equipment and processes. If you enjoy combining technology, programming, automation, and manufacturing to develop practical solutions, eliminate inefficiencies, and advance smart manufacturing, this is an excellent opportunity to grow your career while making a direct impact on the future of manufacturing operations.

Requirements

Strong technical problem-solving and analytical skills
Proficiency in Python programming
Experience developing software, automation, computer vision, robotics, machine learning solutions or other related STEM activities
Knowledge of computer vision and image processing concepts
Strong communication, collaboration, and project execution skills
Demonstrated ability to troubleshoot and solve complex technical problems
Must be able to read, write, understand, and communicate effectively in English.

Nice To Haves

Experience in a manufacturing environment, preferably in automation or advanced manufacturing
Strong experience with Computer Vision, AI-based vision solutions, and image processing applications
Proficiency in Python programming for automation, data analysis, vision system development, and manufacturing digital transformation projects
Experience developing and implementing Manufacturing DX solutions to improve performance, traceability, and decision-making
Basic understanding of PLC controls, including Allen-Bradley/Rockwell Automation, tag structures, and ladder logic
Familiarity with industrial connectivity tools such as Kepware
Experience with software development tools such as Visual Studio Code, Github Copilot, and GitLab
Knowledge of Neural Networks and machine learning concepts related to industrial vision applications
Experience with Apriso integration or similar manufacturing software platforms

Responsibilities

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 modern ML/CV frameworks such as YOLO, Florence-2, SAM, OpenCV, and PyTorch.
Own the full model lifecycle, including data collection, dataset creation, annotation, model training, validation, and performance optimization.
Develop custom OCR and defect-detection solutions capable of operating at production-line speed across multi-camera inspection systems.
Integrate vision systems with plant automation infrastructure, including PLC communications and manufacturing control systems.
Design and implement error-proofing (poka-yoke) solutions utilizing automation, sensing, and machine vision technologies to prevent defects and improve product quality.
Support equipment and automation integration by applying knowledge of PLC controls, including Allen-Bradley/Rockwell Automation platforms, tag structures, and ladder logic.
Collaborate with engineering, operations, and production teams to identify inspection opportunities and implement scalable technical solutions.
Deploy and maintain applications within containerized environments using Docker and version control systems such as Git.
Implement real-time monitoring, alerting, and reporting systems to ensure inspection reliability, uptime, and responsive issue resolution.
Troubleshoot and continuously improve system accuracy, speed, robustness, and performance in production environments.
Build and maintain operator-facing dashboards and user interfaces to improve visibility, usability, and decision-making.
Utilize operational and model performance metrics to improve detection accuracy, precision, recall, throughput, and system effectiveness.
Establish best practices for computer vision deployment, data management, and model maintenance in industrial environments.
Research and evaluate emerging AI, machine vision, robotics, and digital transformation technologies to identify opportunities for innovation.
Serve as a technical resource for advanced vision, OCR, and AI-driven inspection initiatives.
Document system architecture, development methods, testing results, and performance metrics to support scalability and knowledge sharing.
Support team success by sharing technical expertise, assisting engineers and staff, and contributing to cross-functional improvement initiatives.
Ensure compliance with company standards, customer requirements, and applicable regulations while promoting safety, quality, and operational excellence.
Support continuous improvement activities that strengthen manufacturing quality and process performance.