Industrial Vision Architect – IoT Edge Solutions

Hitachi

Architect and design edge-based computer vision solutions for automotive manufacturing. Lead technical architecture decisions and collaborate with engineering teams in IoT and Smart Manufacturing.

Posted 6/23/2026full-timeRemote • Kentucky • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

architect and design edge-based computer vision solutions 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
design hybrid Edge-to-Cloud architectures leveraging AWS services for model management, monitoring, analytics, and continuous improvement
optimize model performance for latency, throughput, memory utilization, and power efficiency across edge hardware platforms
build 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 reliable solutions
troubleshoot and enhance system performance in high-volume production environments
mentor engineers and provide technical leadership across computer vision, machine learning, and edge computing initiatives

Requirements

What you’ll need

7+ years of software engineering experience with a strong focus on edge computing, embedded systems, or industrial automation
expertise in Python and/or C++ development for performance-critical computer vision and machine learning applications
strong hands-on experience with computer vision frameworks such as OpenCV and machine learning platforms including PyTorch, TensorFlow, and ONNX
proven experience deploying AI/ML solutions on edge hardware platforms such as NVIDIA Jetson, Intel Edge devices, or similar embedded systems
experience designing and implementing hybrid AWS architectures that connect edge environments with cloud-based services
strong understanding of CI/CD pipelines, DevOps practices, production monitoring, and system reliability engineering
experience delivering mission-critical solutions within automotive manufacturing or industrial production environments

Benefits

Comp & perks

flexible arrangements that work for you
industry-leading benefits, support, and services that look after your holistic health and wellbeing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC++computer visionmachine learningOpenCVPyTorchTensorFlowONNXMLOpsDevOps

Soft Skills

technical leadershipcollaborationmentoringtroubleshootingproblem-solving