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Industrial computer Vision Full Stack Developer - Cloud Solutions

Net2Source (N2S)
Georgetown, KY Full Time
POSTED ON 1/28/2026 CLOSED ON 2/26/2026

What are the responsibilities and job description for the Industrial computer Vision Full Stack Developer - Cloud Solutions position at Net2Source (N2S)?

Role: Industrial computer Vision Full Stack Developer - Cloud Solutions

Location: Georgetown, KY

Term: Contract /FTE (anything is fine)


The Team

You will join a high-performing Industrial AI & Vision Engineering team focused on delivering automotive-grade computer vision solutions for manufacturing, quality inspection, and automation. The team builds and operates production-scale vision platforms that run in high-throughput factory environments, leveraging AWS cloud, modern full-stack architectures. Collaboration spans software engineers, ML engineers, manufacturing stakeholders, and factory systems teams to ensure reliable, real-time outcomes on the shop floor.


The Role


As a Senior Industrial Computer Vision Full Stack Developer, you will lead the design, development, and deployment of end-to-end industrial vision systems used across automotive manufacturing operations. This role blends full-stack software engineering, production machine learning, and cloud architecture, with a strong focus on scalability, reliability, and real-time performance.


You will:

  • Architect and develop end-to-end industrial vision applications, including UI, APIs, and ML pipelines
  • Design, train, and deploy computer vision models for defect detection, inspection, and traceability
  • Lead AWS-based architectures for image/video processing and ML workloads
  • Optimize vision solutions for real-time, high-volume automotive manufacturing lines
  • Integrate vision platforms with factory systems, PLCs, and MES
  • Mentor engineers and drive best practices across software and ML development


What You’ll Bring

  • 7 years of software engineering experience, including edge or embedded systems
  • Hands-on experience with edge deployment (Docker, NVIDIA Jetson, Intel, or similar platforms)
  • Experience with AWS hybrid/edge services and cloud integration
  • Strong background in CI/CD, DevOps, and production system reliability
  • Experience delivering systems in automotive or industrial manufacturing environments

Salary : $100,000 - $120,000

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