Industrial Vision Architect – IoT Edge Solutions

This is a fully remote position, open to applicants in Kentucky.

📋 Description

• Design and architect edge-based computer vision solutions tailored for automotive manufacturing, quality inspection, and industrial automation.

• Develop, train, optimize, and deploy machine learning and computer vision models for real-time inference on industrial edge devices.

• Create hybrid Edge-to-Cloud architectures utilizing AWS services for model management, monitoring, analytics, and ongoing improvement.

• Enhance model performance focusing on latency, throughput, memory usage, and power efficiency across various edge hardware platforms.

• Construct and maintain MLOps and DevOps pipelines for automated model deployment, updates, version control, rollback, and monitoring.

• Integrate vision systems with manufacturing technologies, including PLCs, MES platforms, factory networks, and industrial control systems.

• Lead technical architecture decisions and establish best practices for edge AI, embedded vision, and production-grade deployments.

• Collaborate with manufacturing, quality, operations, and engineering teams to deliver scalable and dependable solutions.

• Diagnose and improve system performance in high-volume production environments.

• Mentor engineers and provide technical leadership across initiatives in computer vision, machine learning, and edge computing.

⛳️ Requirements

• A minimum of 7 years of software engineering experience with a strong emphasis on edge computing, embedded systems, or industrial automation.

• Proficiency in Python and/or C++ development for performance-sensitive computer vision and machine learning applications.

• Extensive hands-on experience with computer vision frameworks such as OpenCV and machine learning platforms including PyTorch, TensorFlow, and ONNX.

• Demonstrated experience deploying AI/ML solutions on edge hardware platforms like NVIDIA Jetson, Intel Edge devices, or comparable embedded systems.

• Experience in designing and implementing hybrid AWS architectures that link edge environments with cloud-based services.

• Strong grasp of CI/CD pipelines, DevOps practices, production monitoring, and system reliability engineering.

• Proven track record of delivering mission-critical solutions within automotive manufacturing or industrial production settings.

🏝️ Benefits

• Flexible arrangements that cater to your needs.

• Industry-leading benefits, support, and services that prioritize your holistic health and wellbeing.