Title- IoT-AUTO-Senior Industrial Vision Edge Developer

Location: Georgetown, KY

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

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