Hitachi Digital Services-posted about 18 hours ago
Full-time • Mid Level
Dallas, TX

We’re Hitachi Digital Services, 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. You will join a high-performing Industrial AI & Vision Engineering team focused on delivering automotive-grade computer vision solutions for manufacturing, quality inspection, and automation. The team builds and operates production-scale vision platforms that run in high-throughput factory environments, leveraging AWS cloud, DevOps/MLOps best practices, and modern full-stack architectures. Collaboration spans software engineers, ML engineers, manufacturing stakeholders, and factory systems teams to ensure reliable, real-time outcomes on the shop floor. As a Senior Industrial Vision Full Stack Developer, you will lead the design, development, and deployment of end-to-end industrial vision systems used across automotive manufacturing operations. This role blends full-stack software engineering, production machine learning, and cloud architecture, with a strong focus on scalability, reliability, and real-time performance.

  • Architect and develop end-to-end industrial vision applications, including UI, APIs, and ML pipelines
  • Design, train, and deploy computer vision models for defect detection, inspection, and traceability
  • Lead AWS-based architectures for image/video processing and ML workloads
  • Build and maintain CI/CD, DevOps, and MLOps pipelines for production systems
  • Optimize vision solutions for real-time, high-volume automotive manufacturing lines
  • Integrate vision platforms with factory systems, PLCs, and MES
  • Mentor engineers and drive best practices across software and ML development
  • 7+ years of software engineering experience with senior-level technical ownership
  • Strong expertise in Python and cloud-native full-stack development
  • Proven hands-on experience with computer vision and machine learning (OpenCV, PyTorch, TensorFlow)
  • Deep AWS experience, including EC2, S3, EKS/ECS, Lambda, and SageMaker
  • Solid background in Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code
  • Demonstrated success delivering production systems in automotive or manufacturing environments
  • Experience with automotive quality inspection, defect detection, or traceability systems
  • Knowledge of industrial protocols such as OPC UA, MQTT, or Modbus
  • Experience with edge or hybrid cloud deployments
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