What are the responsibilities and job description for the Edge Developer with computer vision position at Net2Source (N2S)?
Title- Senior Industrial Vision Edge Developer
Location: Georgetown, KY
Strongly prefer someone local (or reasonable driving distance to Georgetown, KY). Will consider remote for a strong candidate, but must travel 2 times a month.
Hire Type- Open for Contract and Fulltime both options
Mandatory Skills: Manufacturing domain exp, ML/CV Modelling, DevOps/MLOps, Edge ML/CV Performance Optimization, System Integration
Job Description:
We are seeking a Senior Industrial Vision Edge Developer to lead the design, deployment, and optimization of real-time computer vision systems at the edge for automotive manufacturing and quality inspection. This role focuses on edge ML, embedded vision, and hybrid AWS architectures, delivering low-latency, highly reliable solutions in high-throughput production environments.
Required Skills:
- 7 years of software engineering experience, including edge or embedded systems
- Strong proficiency in Python and/or C for performance-critical vision workloads
- Proven experience with computer vision and ML (OpenCV, PyTorch, TensorFlow, ONNX)
- 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
Pre-defined Deliverables:
- Architect and develop edge-based computer vision systems for automotive inspection and automation
- Design, train, and deploy real-time ML/CV models optimized for edge hardware
- Optimize inference performance (latency, throughput, memory, power) on industrial edge devices
- Build hybrid edge–cloud architectures using AWS for model lifecycle management and monitoring
- Implement DevOps/MLOps pipelines for edge deployment, updates, and rollback
- Integrate vision systems with PLCs, MES, and factory networks
- Lead technical decisions and mentor engineers on edge and vision best practices