Industrial Vision Architect - IoT Edge Solutions

Overview

Hitachi Digital Services is a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next.

We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don t expect you to  fit  every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job Description

Meet Our Team. Join a team at the forefront of Industrial IoT, Edge AI, and Smart Manufacturing, building next-generation vision systems that drive automation, quality, and operational excellence across automotive production environments. Our engineers, architects, and manufacturing specialists collaborate to deliver real-time computer vision solutions that improve product quality, reduce defects, and enable intelligent factory operations. You ll work with cutting-edge edge computing platforms, machine learning technologies, and cloud-native architectures to solve complex industrial challenges at scale.

• 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 Dev Ops 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.

• 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, Tensor Flow, 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, Dev Ops practices, production monitoring, and system reliability engineering.
• Experience delivering mission-critical solutions within automotive manufacturing or industrial production environments.
• Ability to optimize AI inference workloads for real-time performance and operational scalability.
• Strong problem-solving skills with the ability to lead architecture discussions and technical decision-making.
• Excellent communication and collaboration skills, with experience mentoring and guiding engineering teams.

• Experience with NVIDIA TensorRT, CUDA, OpenVINO, or other hardware acceleration frameworks.
• Knowledge of industrial communication protocols including OPC UA, MQTT, and Modbus.
• Understanding of functional safety standards, validation processes, and production-grade manufacturing…