Computer Vision Engineer

IoT Senior Industrial Vision Edge Developer

Location:

Georgetown, KY

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.

• 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, Tensor Flow, 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, Dev Ops, and production system reliability
• Experience delivering systems in automotive or industrial manufacturing environments

• 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 Dev Ops/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