Industrial Vision Architect – IoT Edge Solutions

Job not on LinkedIn

🕒 June 23

🐎 Kentucky – Remote

🐎 Kentucky – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

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Hitachi

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1910

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

📋 Description

• 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

• 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

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